updating summary
This commit is contained in:
mhjensen
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
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||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
('Adversarial learning', 2, None, '___sec20'),
|
||||
('Dual learning', 2, None, '___sec21'),
|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec24'),
|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
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None,
|
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'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
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||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
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||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
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||||
|
||||
</ul>
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</li>
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@@ -198,7 +200,7 @@ MathJax.Hub.Config({
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<center>[2] <b>National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
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<br>
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<p>
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<center><h4>Nov 27, 2019</h4></center> <!-- date -->
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<center><h4>Nov 28, 2019</h4></center> <!-- date -->
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<br>
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<p>
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@@ -222,7 +224,7 @@ MathJax.Hub.Config({
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<li><a href="._summary-bs008.html">9</a></li>
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<li><a href="._summary-bs009.html">10</a></li>
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<li><a href="">...</a></li>
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<li><a href="._summary-bs032.html">33</a></li>
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<li><a href="._summary-bs033.html">34</a></li>
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<li><a href="._summary-bs001.html">»</a></li>
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</ul>
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<!-- ------------------- end of main content --------------- -->
|
||||
|
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@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
('Adversarial learning', 2, None, '___sec20'),
|
||||
('Dual learning', 2, None, '___sec21'),
|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec24'),
|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
||||
None,
|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -181,7 +183,6 @@ MathJax.Hub.Config({
|
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<h2 id="___sec0" class="anchor">What? Me worry? No final exam in this course! </h2>
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<br /><br /><center><p><img src="figures/exam1.jpeg" align="bottom" width=500></p></center><br /><br />
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<br /><br /><center><p><img src="figures/whatmeworry.jpeg" align="bottom" width=500></p></center><br /><br />
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<p>
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<p>
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@@ -200,7 +201,7 @@ MathJax.Hub.Config({
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<li><a href="._summary-bs009.html">10</a></li>
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||||
<li><a href="._summary-bs010.html">11</a></li>
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||||
<li><a href="">...</a></li>
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<li><a href="._summary-bs032.html">33</a></li>
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||||
<li><a href="._summary-bs033.html">34</a></li>
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||||
<li><a href="._summary-bs002.html">»</a></li>
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||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
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||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
('Adversarial learning', 2, None, '___sec20'),
|
||||
('Dual learning', 2, None, '___sec21'),
|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec24'),
|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
||||
None,
|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -206,7 +208,7 @@ Does that match the experiences you have made this semester?
|
||||
<li><a href="._summary-bs010.html">11</a></li>
|
||||
<li><a href="._summary-bs011.html">12</a></li>
|
||||
<li><a href="">...</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs003.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
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|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
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|
||||
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|
||||
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|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
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|
||||
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|
||||
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|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -207,7 +209,7 @@ The course has two central parts
|
||||
<li><a href="._summary-bs011.html">12</a></li>
|
||||
<li><a href="._summary-bs012.html">13</a></li>
|
||||
<li><a href="">...</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs004.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
('Adversarial learning', 2, None, '___sec20'),
|
||||
('Dual learning', 2, None, '___sec21'),
|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec24'),
|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
||||
None,
|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -187,7 +189,6 @@ The following topics will be covered
|
||||
<ol>
|
||||
<li> Basic concepts, expectation values, variance, covariance, correlation functions and errors;</li>
|
||||
<li> Simpler models, binomial distribution, the Poisson distribution, simple and multivariate normal distributions;</li>
|
||||
<li> Central elements of Bayesian statistics and modeling;</li>
|
||||
<li> Central elements from linear algebra</li>
|
||||
<li> Gradient methods for data optimization</li>
|
||||
<li> Estimation of errors using cross-validation, blocking, bootstrapping and jackknife methods;</li>
|
||||
@@ -214,7 +215,7 @@ The following topics will be covered
|
||||
<li><a href="._summary-bs012.html">13</a></li>
|
||||
<li><a href="._summary-bs013.html">14</a></li>
|
||||
<li><a href="">...</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs005.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
('Adversarial learning', 2, None, '___sec20'),
|
||||
('Dual learning', 2, None, '___sec21'),
|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec24'),
|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
||||
None,
|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -211,7 +213,7 @@ The following topics will be covered
|
||||
<li><a href="._summary-bs013.html">14</a></li>
|
||||
<li><a href="._summary-bs014.html">15</a></li>
|
||||
<li><a href="">...</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs006.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
||||
None,
|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -224,7 +226,7 @@ ethical conduct is emphasized throughout the course.
|
||||
<li><a href="._summary-bs014.html">15</a></li>
|
||||
<li><a href="._summary-bs015.html">16</a></li>
|
||||
<li><a href="">...</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs007.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
('Adversarial learning', 2, None, '___sec20'),
|
||||
('Dual learning', 2, None, '___sec21'),
|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec24'),
|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
||||
None,
|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -216,7 +218,7 @@ Neural Networks, etc.</a>
|
||||
<li><a href="._summary-bs015.html">16</a></li>
|
||||
<li><a href="._summary-bs016.html">17</a></li>
|
||||
<li><a href="">...</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs008.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
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|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
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|
||||
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|
||||
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|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
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|
||||
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|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
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|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -215,7 +217,7 @@ Where to find recent results:
|
||||
<li><a href="._summary-bs016.html">17</a></li>
|
||||
<li><a href="._summary-bs017.html">18</a></li>
|
||||
<li><a href="">...</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs009.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
('Adversarial learning', 2, None, '___sec20'),
|
||||
('Dual learning', 2, None, '___sec21'),
|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec24'),
|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
||||
None,
|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -213,7 +215,7 @@ MathJax.Hub.Config({
|
||||
<li><a href="._summary-bs017.html">18</a></li>
|
||||
<li><a href="._summary-bs018.html">19</a></li>
|
||||
<li><a href="">...</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs010.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
('Adversarial learning', 2, None, '___sec20'),
|
||||
('Dual learning', 2, None, '___sec21'),
|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec24'),
|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
||||
None,
|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -212,7 +214,7 @@ MathJax.Hub.Config({
|
||||
<li><a href="._summary-bs018.html">19</a></li>
|
||||
<li><a href="._summary-bs019.html">20</a></li>
|
||||
<li><a href="">...</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs011.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
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|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
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|
||||
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|
||||
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|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
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|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -230,7 +232,7 @@ MathJax.Hub.Config({
|
||||
<li><a href="._summary-bs019.html">20</a></li>
|
||||
<li><a href="._summary-bs020.html">21</a></li>
|
||||
<li><a href="">...</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs012.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
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|
||||
('Dual learning', 2, None, '___sec21'),
|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
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|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
||||
None,
|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -223,7 +225,7 @@ MathJax.Hub.Config({
|
||||
<li><a href="._summary-bs020.html">21</a></li>
|
||||
<li><a href="._summary-bs021.html">22</a></li>
|
||||
<li><a href="">...</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs013.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
('Adversarial learning', 2, None, '___sec20'),
|
||||
('Dual learning', 2, None, '___sec21'),
|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec24'),
|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
||||
None,
|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -225,7 +227,7 @@ Which regularization and hyperparameters? \( L_1 \) or \( L_2 \), soft classifie
|
||||
<li><a href="._summary-bs021.html">22</a></li>
|
||||
<li><a href="._summary-bs022.html">23</a></li>
|
||||
<li><a href="">...</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs014.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
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|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -215,7 +217,7 @@ When do we resample?
|
||||
<li><a href="._summary-bs022.html">23</a></li>
|
||||
<li><a href="._summary-bs023.html">24</a></li>
|
||||
<li><a href="">...</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs015.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
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|
||||
('Dual learning', 2, None, '___sec21'),
|
||||
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|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec24'),
|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
||||
None,
|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -220,7 +222,7 @@ The link here <a href="https://www.mn.uio.no/english/research/about/centre-focus
|
||||
<li><a href="._summary-bs023.html">24</a></li>
|
||||
<li><a href="._summary-bs024.html">25</a></li>
|
||||
<li><a href="">...</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs016.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
('Adversarial learning', 2, None, '___sec20'),
|
||||
('Dual learning', 2, None, '___sec21'),
|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec24'),
|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -211,7 +213,7 @@ MathJax.Hub.Config({
|
||||
<li><a href="._summary-bs024.html">25</a></li>
|
||||
<li><a href="._summary-bs025.html">26</a></li>
|
||||
<li><a href="">...</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs017.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -225,7 +227,7 @@ networks have been proposed, such as
|
||||
<li><a href="._summary-bs025.html">26</a></li>
|
||||
<li><a href="._summary-bs026.html">27</a></li>
|
||||
<li><a href="">...</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs018.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
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|
||||
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|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
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|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
||||
None,
|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -179,26 +181,18 @@ MathJax.Hub.Config({
|
||||
<a name="part0018"></a>
|
||||
<!-- !split -->
|
||||
|
||||
<h2 id="___sec17" class="anchor">Reinforcement Learning </h2>
|
||||
<h2 id="___sec17" class="anchor">Bayesian Machine Learning </h2>
|
||||
|
||||
<p>
|
||||
Reinforcement learning is a sub-area of machine learning. It studies
|
||||
how agents take actions based on trial and error, so as to maximize
|
||||
some notion of cumulative reward in a dynamic system or
|
||||
environment. Due to its generality, the problem has also been studied
|
||||
in many other disciplines, such as game theory, control theory,
|
||||
operations research, information theory, multi-agent systems, swarm
|
||||
intelligence, statistics, and genetic algorithms.
|
||||
This is an important topic if we aim at extracting a probability
|
||||
distribution. This gives us also a confidence interval and error
|
||||
estimates.
|
||||
|
||||
<p>
|
||||
In March 2016, AlphaGo, a computer program that plays the board game
|
||||
Go, beat Lee Sedol in a five-game match. This was the first time a
|
||||
computer Go program had beaten a 9-dan (highest rank) professional
|
||||
without handicaps. AlphaGo is based on deep convolutional neural
|
||||
networks and reinforcement learning. AlphaGo’s victory was a major
|
||||
milestone in artificial intelligence and it has also made
|
||||
reinforcement learning a hot research area in the field of machine
|
||||
learning.
|
||||
Bayesian machine learning allows us to encode our prior beliefs about
|
||||
what those models should look like, independent of what the data tells
|
||||
us. This is especially useful when we don’t have a ton of data to
|
||||
confidently learn our model.
|
||||
|
||||
<p>
|
||||
<p>
|
||||
@@ -226,7 +220,7 @@ learning.
|
||||
<li><a href="._summary-bs026.html">27</a></li>
|
||||
<li><a href="._summary-bs027.html">28</a></li>
|
||||
<li><a href="">...</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs019.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
('Adversarial learning', 2, None, '___sec20'),
|
||||
('Dual learning', 2, None, '___sec21'),
|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec24'),
|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
||||
None,
|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -179,18 +181,26 @@ MathJax.Hub.Config({
|
||||
<a name="part0019"></a>
|
||||
<!-- !split -->
|
||||
|
||||
<h2 id="___sec18" class="anchor">Transfer learning </h2>
|
||||
<h2 id="___sec18" class="anchor">Reinforcement Learning </h2>
|
||||
|
||||
<p>
|
||||
The goal of transfer learning is to transfer the model or knowledge
|
||||
obtained from a source task to the target task, in order to resolve
|
||||
the issues of insufficient training data in the target task. The
|
||||
rationality of doing so lies in that usually the source and target
|
||||
tasks have inter-correlations, and therefore either the features,
|
||||
samples, or models in the source task might provide useful information
|
||||
for us to better solve the target task. Transfer learning is a hot
|
||||
research topic in recent years, with many problems still waiting to be
|
||||
solved in this space.
|
||||
Reinforcement learning is a sub-area of machine learning. It studies
|
||||
how agents take actions based on trial and error, so as to maximize
|
||||
some notion of cumulative reward in a dynamic system or
|
||||
environment. Due to its generality, the problem has also been studied
|
||||
in many other disciplines, such as game theory, control theory,
|
||||
operations research, information theory, multi-agent systems, swarm
|
||||
intelligence, statistics, and genetic algorithms.
|
||||
|
||||
<p>
|
||||
In March 2016, AlphaGo, a computer program that plays the board game
|
||||
Go, beat Lee Sedol in a five-game match. This was the first time a
|
||||
computer Go program had beaten a 9-dan (highest rank) professional
|
||||
without handicaps. AlphaGo is based on deep convolutional neural
|
||||
networks and reinforcement learning. AlphaGo’s victory was a major
|
||||
milestone in artificial intelligence and it has also made
|
||||
reinforcement learning a hot research area in the field of machine
|
||||
learning.
|
||||
|
||||
<p>
|
||||
<p>
|
||||
@@ -218,7 +228,7 @@ solved in this space.
|
||||
<li><a href="._summary-bs027.html">28</a></li>
|
||||
<li><a href="._summary-bs028.html">29</a></li>
|
||||
<li><a href="">...</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs020.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
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|
||||
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|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec24'),
|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
||||
None,
|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
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|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -179,18 +181,18 @@ MathJax.Hub.Config({
|
||||
<a name="part0020"></a>
|
||||
<!-- !split -->
|
||||
|
||||
<h2 id="___sec19" class="anchor">Adversarial learning </h2>
|
||||
<h2 id="___sec19" class="anchor">Transfer learning </h2>
|
||||
|
||||
<p>
|
||||
The conventional deep generative model has a potential problem: the
|
||||
model tends to generate extreme instances to maximize the
|
||||
probabilistic likelihood, which will hurt its performance. Adversarial
|
||||
learning utilizes the adversarial behaviors (e.g., generating
|
||||
adversarial instances or training an adversarial model) to enhance the
|
||||
robustness of the model and improve the quality of the generated
|
||||
data. In recent years, one of the most promising unsupervised learning
|
||||
technologies, generative adversarial networks (GAN), has already been
|
||||
successfully applied to image, speech, and text.
|
||||
The goal of transfer learning is to transfer the model or knowledge
|
||||
obtained from a source task to the target task, in order to resolve
|
||||
the issues of insufficient training data in the target task. The
|
||||
rationality of doing so lies in that usually the source and target
|
||||
tasks have inter-correlations, and therefore either the features,
|
||||
samples, or models in the source task might provide useful information
|
||||
for us to better solve the target task. Transfer learning is a hot
|
||||
research topic in recent years, with many problems still waiting to be
|
||||
solved in this space.
|
||||
|
||||
<p>
|
||||
<p>
|
||||
@@ -218,7 +220,7 @@ successfully applied to image, speech, and text.
|
||||
<li><a href="._summary-bs028.html">29</a></li>
|
||||
<li><a href="._summary-bs029.html">30</a></li>
|
||||
<li><a href="">...</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs021.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
('Adversarial learning', 2, None, '___sec20'),
|
||||
('Dual learning', 2, None, '___sec21'),
|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec24'),
|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
||||
None,
|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -179,18 +181,18 @@ MathJax.Hub.Config({
|
||||
<a name="part0021"></a>
|
||||
<!-- !split -->
|
||||
|
||||
<h2 id="___sec20" class="anchor">Dual learning </h2>
|
||||
<h2 id="___sec20" class="anchor">Adversarial learning </h2>
|
||||
|
||||
<p>
|
||||
Dual learning is a new learning paradigm, the basic idea of which is
|
||||
to use the primal-dual structure between machine learning tasks to
|
||||
obtain effective feedback/regularization, and guide and strengthen the
|
||||
learning process, thus reducing the requirement of large-scale labeled
|
||||
data for deep learning. The idea of dual learning has been applied to
|
||||
many problems in machine learning, including machine translation,
|
||||
image style conversion, question answering and generation, image
|
||||
classification and generation, text classification and generation,
|
||||
image-to-text, and text-to-image.
|
||||
The conventional deep generative model has a potential problem: the
|
||||
model tends to generate extreme instances to maximize the
|
||||
probabilistic likelihood, which will hurt its performance. Adversarial
|
||||
learning utilizes the adversarial behaviors (e.g., generating
|
||||
adversarial instances or training an adversarial model) to enhance the
|
||||
robustness of the model and improve the quality of the generated
|
||||
data. In recent years, one of the most promising unsupervised learning
|
||||
technologies, generative adversarial networks (GAN), has already been
|
||||
successfully applied to image, speech, and text.
|
||||
|
||||
<p>
|
||||
<p>
|
||||
@@ -218,7 +220,7 @@ image-to-text, and text-to-image.
|
||||
<li><a href="._summary-bs029.html">30</a></li>
|
||||
<li><a href="._summary-bs030.html">31</a></li>
|
||||
<li><a href="">...</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs022.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
('Adversarial learning', 2, None, '___sec20'),
|
||||
('Dual learning', 2, None, '___sec21'),
|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec24'),
|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
||||
None,
|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -179,13 +181,18 @@ MathJax.Hub.Config({
|
||||
<a name="part0022"></a>
|
||||
<!-- !split -->
|
||||
|
||||
<h2 id="___sec21" class="anchor">Distributed machine learning </h2>
|
||||
<h2 id="___sec21" class="anchor">Dual learning </h2>
|
||||
|
||||
<p>
|
||||
Distributed computation will speed up machine learning algorithms,
|
||||
significantly improve their efficiency, and thus enlarge their
|
||||
application. When distributed meets machine learning, more than just
|
||||
implementing the machine learning algorithms in parallel is required.
|
||||
Dual learning is a new learning paradigm, the basic idea of which is
|
||||
to use the primal-dual structure between machine learning tasks to
|
||||
obtain effective feedback/regularization, and guide and strengthen the
|
||||
learning process, thus reducing the requirement of large-scale labeled
|
||||
data for deep learning. The idea of dual learning has been applied to
|
||||
many problems in machine learning, including machine translation,
|
||||
image style conversion, question answering and generation, image
|
||||
classification and generation, text classification and generation,
|
||||
image-to-text, and text-to-image.
|
||||
|
||||
<p>
|
||||
<p>
|
||||
@@ -213,7 +220,7 @@ implementing the machine learning algorithms in parallel is required.
|
||||
<li><a href="._summary-bs030.html">31</a></li>
|
||||
<li><a href="._summary-bs031.html">32</a></li>
|
||||
<li><a href="">...</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs023.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
('Adversarial learning', 2, None, '___sec20'),
|
||||
('Dual learning', 2, None, '___sec21'),
|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec24'),
|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
||||
None,
|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -179,16 +181,13 @@ MathJax.Hub.Config({
|
||||
<a name="part0023"></a>
|
||||
<!-- !split -->
|
||||
|
||||
<h2 id="___sec22" class="anchor">Meta learning </h2>
|
||||
<h2 id="___sec22" class="anchor">Distributed machine learning </h2>
|
||||
|
||||
<p>
|
||||
Meta learning is an emerging research direction in machine
|
||||
learning. Roughly speaking, meta learning concerns learning how to
|
||||
learn, and focuses on the understanding and adaptation of the learning
|
||||
itself, instead of just completing a specific learning task. That is,
|
||||
a meta learner needs to be able to evaluate its own learning methods
|
||||
and adjust its own learning methods according to specific learning
|
||||
tasks.
|
||||
Distributed computation will speed up machine learning algorithms,
|
||||
significantly improve their efficiency, and thus enlarge their
|
||||
application. When distributed meets machine learning, more than just
|
||||
implementing the machine learning algorithms in parallel is required.
|
||||
|
||||
<p>
|
||||
<p>
|
||||
@@ -215,6 +214,8 @@ tasks.
|
||||
<li><a href="._summary-bs030.html">31</a></li>
|
||||
<li><a href="._summary-bs031.html">32</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="">...</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs024.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
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|
||||
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|
||||
('Dual learning', 2, None, '___sec21'),
|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
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|
||||
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|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
||||
None,
|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
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|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -179,27 +181,16 @@ MathJax.Hub.Config({
|
||||
<a name="part0024"></a>
|
||||
<!-- !split -->
|
||||
|
||||
<h2 id="___sec23" class="anchor">The Challenges Facing Machine Learning </h2>
|
||||
<h2 id="___sec23" class="anchor">Meta learning </h2>
|
||||
|
||||
<p>
|
||||
While there has been much progress in machine learning, there are also challenges.
|
||||
|
||||
<p>
|
||||
For example, the mainstream machine learning technologies are
|
||||
black-box approaches, making us concerned about their potential
|
||||
risks. To tackle this challenge, we may want to make machine learning
|
||||
more explainable and controllable. As another example, the
|
||||
computational complexity of machine learning algorithms is usually
|
||||
very high and we may want to invent lightweight algorithms or
|
||||
implementations. Furthermore, in many domains such as physics,
|
||||
chemistry, biology, and social sciences, people usually seek elegantly
|
||||
simple equations (e.g., the Schrödinger equation) to uncover the
|
||||
underlying laws behind various phenomena. In the field of machine
|
||||
learning, can we reveal simple laws instead of designing more complex
|
||||
models for data fitting? Although there are many challenges, we are
|
||||
still very optimistic about the future of machine learning. As we look
|
||||
forward to the future, here are what we think the research hotspots in
|
||||
the next ten years will be.
|
||||
Meta learning is an emerging research direction in machine
|
||||
learning. Roughly speaking, meta learning concerns learning how to
|
||||
learn, and focuses on the understanding and adaptation of the learning
|
||||
itself, instead of just completing a specific learning task. That is,
|
||||
a meta learner needs to be able to evaluate its own learning methods
|
||||
and adjust its own learning methods according to specific learning
|
||||
tasks.
|
||||
|
||||
<p>
|
||||
<p>
|
||||
@@ -225,6 +216,7 @@ the next ten years will be.
|
||||
<li><a href="._summary-bs030.html">31</a></li>
|
||||
<li><a href="._summary-bs031.html">32</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs025.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
('Adversarial learning', 2, None, '___sec20'),
|
||||
('Dual learning', 2, None, '___sec21'),
|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec24'),
|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
||||
None,
|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -179,24 +181,27 @@ MathJax.Hub.Config({
|
||||
<a name="part0025"></a>
|
||||
<!-- !split -->
|
||||
|
||||
<h2 id="___sec24" class="anchor">Explainable machine learning </h2>
|
||||
<h2 id="___sec24" class="anchor">The Challenges Facing Machine Learning </h2>
|
||||
|
||||
<p>
|
||||
Machine learning, especially deep learning, evolves rapidly. The
|
||||
ability gap between machine and human on many complex cognitive tasks
|
||||
becomes narrower and narrower. However, we are still in the very early
|
||||
stage in terms of explaining why those effective models work and how
|
||||
they work.
|
||||
While there has been much progress in machine learning, there are also challenges.
|
||||
|
||||
<p>
|
||||
What is missing: the gap between correlation and causation Most
|
||||
machine learning techniques, especially the statistical ones, depend
|
||||
highly on data correlation to make predictions and analyses. In
|
||||
contrast, rational humans tend to reply on clear and trustworthy
|
||||
causality relations obtained via logical reasoning on real and clear
|
||||
facts. It is one of the core goals of explainable machine learning to
|
||||
transition from solving problems by data correlation to solving
|
||||
problems by logical reasoning.
|
||||
For example, the mainstream machine learning technologies are
|
||||
black-box approaches, making us concerned about their potential
|
||||
risks. To tackle this challenge, we may want to make machine learning
|
||||
more explainable and controllable. As another example, the
|
||||
computational complexity of machine learning algorithms is usually
|
||||
very high and we may want to invent lightweight algorithms or
|
||||
implementations. Furthermore, in many domains such as physics,
|
||||
chemistry, biology, and social sciences, people usually seek elegantly
|
||||
simple equations (e.g., the Schrödinger equation) to uncover the
|
||||
underlying laws behind various phenomena. In the field of machine
|
||||
learning, can we reveal simple laws instead of designing more complex
|
||||
models for data fitting? Although there are many challenges, we are
|
||||
still very optimistic about the future of machine learning. As we look
|
||||
forward to the future, here are what we think the research hotspots in
|
||||
the next ten years will be.
|
||||
|
||||
<p>
|
||||
<p>
|
||||
@@ -221,6 +226,7 @@ problems by logical reasoning.
|
||||
<li><a href="._summary-bs030.html">31</a></li>
|
||||
<li><a href="._summary-bs031.html">32</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs026.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
('Adversarial learning', 2, None, '___sec20'),
|
||||
('Dual learning', 2, None, '___sec21'),
|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec24'),
|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
||||
None,
|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -179,27 +181,24 @@ MathJax.Hub.Config({
|
||||
<a name="part0026"></a>
|
||||
<!-- !split -->
|
||||
|
||||
<h2 id="___sec25" class="anchor">Quantum machine learning </h2>
|
||||
<h2 id="___sec25" class="anchor">Explainable machine learning </h2>
|
||||
|
||||
<p>
|
||||
Quantum machine learning is an emerging interdisciplinary research
|
||||
area at the intersection of quantum computing and machine learning.
|
||||
Machine learning, especially deep learning, evolves rapidly. The
|
||||
ability gap between machine and human on many complex cognitive tasks
|
||||
becomes narrower and narrower. However, we are still in the very early
|
||||
stage in terms of explaining why those effective models work and how
|
||||
they work.
|
||||
|
||||
<p>
|
||||
Quantum computers use effects such as quantum coherence and quantum
|
||||
entanglement to process information, which is fundamentally different
|
||||
from classical computers. Quantum algorithms have surpassed the best
|
||||
classical algorithms in several problems (e.g., searching for an
|
||||
unsorted database, inverting a sparse matrix), which we call quantum
|
||||
acceleration.
|
||||
|
||||
<p>
|
||||
When quantum computing meets machine learning, it can be a mutually
|
||||
beneficial and reinforcing process, as it allows us to take advantage
|
||||
of quantum computing to improve the performance of classical machine
|
||||
learning algorithms. In addition, we can also use the machine learning
|
||||
algorithms (on classic computers) to analyze and improve quantum
|
||||
computing systems.
|
||||
What is missing: the gap between correlation and causation Most
|
||||
machine learning techniques, especially the statistical ones, depend
|
||||
highly on data correlation to make predictions and analyses. In
|
||||
contrast, rational humans tend to reply on clear and trustworthy
|
||||
causality relations obtained via logical reasoning on real and clear
|
||||
facts. It is one of the core goals of explainable machine learning to
|
||||
transition from solving problems by data correlation to solving
|
||||
problems by logical reasoning.
|
||||
|
||||
<p>
|
||||
<p>
|
||||
@@ -223,6 +222,7 @@ computing systems.
|
||||
<li><a href="._summary-bs030.html">31</a></li>
|
||||
<li><a href="._summary-bs031.html">32</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs027.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
('Adversarial learning', 2, None, '___sec20'),
|
||||
('Dual learning', 2, None, '___sec21'),
|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec24'),
|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
||||
None,
|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -179,21 +181,27 @@ MathJax.Hub.Config({
|
||||
<a name="part0027"></a>
|
||||
<!-- !split -->
|
||||
|
||||
<h2 id="___sec26" class="anchor">Quantum machine learning algorithms based on linear algebra </h2>
|
||||
<h2 id="___sec26" class="anchor">Quantum machine learning </h2>
|
||||
|
||||
<p>
|
||||
Many quantum machine learning algorithms are based on variants of
|
||||
quantum algorithms for solving linear equations, which can efficiently
|
||||
solve N-variable linear equations with complexity of O(log2 N) under
|
||||
certain conditions. The quantum matrix inversion algorithm can
|
||||
accelerate many machine learning methods, such as least square linear
|
||||
regression, least square version of support vector machine, Gaussian
|
||||
process, and more. The training of these algorithms can be simplified
|
||||
to solve linear equations. The key bottleneck of this type of quantum
|
||||
machine learning algorithms is data input—that is, how to initialize
|
||||
the quantum system with the entire data set. Although efficient
|
||||
data-input algorithms exist for certain situations, how to efficiently
|
||||
input data into a quantum system is as yet unknown for most cases.
|
||||
Quantum machine learning is an emerging interdisciplinary research
|
||||
area at the intersection of quantum computing and machine learning.
|
||||
|
||||
<p>
|
||||
Quantum computers use effects such as quantum coherence and quantum
|
||||
entanglement to process information, which is fundamentally different
|
||||
from classical computers. Quantum algorithms have surpassed the best
|
||||
classical algorithms in several problems (e.g., searching for an
|
||||
unsorted database, inverting a sparse matrix), which we call quantum
|
||||
acceleration.
|
||||
|
||||
<p>
|
||||
When quantum computing meets machine learning, it can be a mutually
|
||||
beneficial and reinforcing process, as it allows us to take advantage
|
||||
of quantum computing to improve the performance of classical machine
|
||||
learning algorithms. In addition, we can also use the machine learning
|
||||
algorithms (on classic computers) to analyze and improve quantum
|
||||
computing systems.
|
||||
|
||||
<p>
|
||||
<p>
|
||||
@@ -216,6 +224,7 @@ input data into a quantum system is as yet unknown for most cases.
|
||||
<li><a href="._summary-bs030.html">31</a></li>
|
||||
<li><a href="._summary-bs031.html">32</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs028.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
('Adversarial learning', 2, None, '___sec20'),
|
||||
('Dual learning', 2, None, '___sec21'),
|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec24'),
|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
||||
None,
|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -179,16 +181,21 @@ MathJax.Hub.Config({
|
||||
<a name="part0028"></a>
|
||||
<!-- !split -->
|
||||
|
||||
<h2 id="___sec27" class="anchor">Quantum reinforcement learning </h2>
|
||||
<h2 id="___sec27" class="anchor">Quantum machine learning algorithms based on linear algebra </h2>
|
||||
|
||||
<p>
|
||||
In quantum reinforcement learning, a quantum agent interacts with the
|
||||
classical environment to obtain rewards from the environment, so as to
|
||||
adjust and improve its behavioral strategies. In some cases, it
|
||||
achieves quantum acceleration by the quantum processing capabilities
|
||||
of the agent or the possibility of exploring the environment through
|
||||
quantum superposition. Such algorithms have been proposed in
|
||||
superconducting circuits and systems of trapped ions.
|
||||
Many quantum machine learning algorithms are based on variants of
|
||||
quantum algorithms for solving linear equations, which can efficiently
|
||||
solve N-variable linear equations with complexity of O(log2 N) under
|
||||
certain conditions. The quantum matrix inversion algorithm can
|
||||
accelerate many machine learning methods, such as least square linear
|
||||
regression, least square version of support vector machine, Gaussian
|
||||
process, and more. The training of these algorithms can be simplified
|
||||
to solve linear equations. The key bottleneck of this type of quantum
|
||||
machine learning algorithms is data input—that is, how to initialize
|
||||
the quantum system with the entire data set. Although efficient
|
||||
data-input algorithms exist for certain situations, how to efficiently
|
||||
input data into a quantum system is as yet unknown for most cases.
|
||||
|
||||
<p>
|
||||
<p>
|
||||
@@ -210,6 +217,7 @@ superconducting circuits and systems of trapped ions.
|
||||
<li><a href="._summary-bs030.html">31</a></li>
|
||||
<li><a href="._summary-bs031.html">32</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs029.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
('Adversarial learning', 2, None, '___sec20'),
|
||||
('Dual learning', 2, None, '___sec21'),
|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec24'),
|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
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|
||||
2,
|
||||
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|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -179,21 +181,16 @@ MathJax.Hub.Config({
|
||||
<a name="part0029"></a>
|
||||
<!-- !split -->
|
||||
|
||||
<h2 id="___sec28" class="anchor">Quantum deep learning </h2>
|
||||
<h2 id="___sec28" class="anchor">Quantum reinforcement learning </h2>
|
||||
|
||||
<p>
|
||||
Dedicated quantum information processors, such as quantum annealers
|
||||
and programmable photonic circuits, are well suited for building deep
|
||||
quantum networks. The simplest deep quantum network is the Boltzmann
|
||||
machine. The classical Boltzmann machine consists of bits with tunable
|
||||
interactions and is trained by adjusting the interaction of these bits
|
||||
so that the distribution of its expression conforms to the statistics
|
||||
of the data. To quantize the Boltzmann machine, the neural network can
|
||||
simply be represented as a set of interacting quantum spins that
|
||||
correspond to an adjustable Ising model. Then, by initializing the
|
||||
input neurons in the Boltzmann machine to a fixed state and allowing
|
||||
the system to heat up, we can read out the output qubits to get the
|
||||
result.
|
||||
In quantum reinforcement learning, a quantum agent interacts with the
|
||||
classical environment to obtain rewards from the environment, so as to
|
||||
adjust and improve its behavioral strategies. In some cases, it
|
||||
achieves quantum acceleration by the quantum processing capabilities
|
||||
of the agent or the possibility of exploring the environment through
|
||||
quantum superposition. Such algorithms have been proposed in
|
||||
superconducting circuits and systems of trapped ions.
|
||||
|
||||
<p>
|
||||
<p>
|
||||
@@ -214,6 +211,7 @@ result.
|
||||
<li><a href="._summary-bs030.html">31</a></li>
|
||||
<li><a href="._summary-bs031.html">32</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs030.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
('Adversarial learning', 2, None, '___sec20'),
|
||||
('Dual learning', 2, None, '___sec21'),
|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec24'),
|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
||||
None,
|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -179,20 +181,21 @@ MathJax.Hub.Config({
|
||||
<a name="part0030"></a>
|
||||
<!-- !split -->
|
||||
|
||||
<h2 id="___sec29" class="anchor">Social machine learning </h2>
|
||||
<h2 id="___sec29" class="anchor">Quantum deep learning </h2>
|
||||
|
||||
<p>
|
||||
Machine learning aims to imitate how humans
|
||||
learn. While we have developed successful machine learning algorithms,
|
||||
until now we have ignored one important fact: humans are social. Each
|
||||
of us is one part of the total society and it is difficult for us to
|
||||
live, learn, and improve ourselves, alone and isolated. Therefore, we
|
||||
should design machines with social properties. Can we let machines
|
||||
evolve by imitating human society so as to achieve more effective,
|
||||
intelligent, interpretable “social machine learning”?
|
||||
|
||||
<p>
|
||||
And much more.
|
||||
Dedicated quantum information processors, such as quantum annealers
|
||||
and programmable photonic circuits, are well suited for building deep
|
||||
quantum networks. The simplest deep quantum network is the Boltzmann
|
||||
machine. The classical Boltzmann machine consists of bits with tunable
|
||||
interactions and is trained by adjusting the interaction of these bits
|
||||
so that the distribution of its expression conforms to the statistics
|
||||
of the data. To quantize the Boltzmann machine, the neural network can
|
||||
simply be represented as a set of interacting quantum spins that
|
||||
correspond to an adjustable Ising model. Then, by initializing the
|
||||
input neurons in the Boltzmann machine to a fixed state and allowing
|
||||
the system to heat up, we can read out the output qubits to get the
|
||||
result.
|
||||
|
||||
<p>
|
||||
<p>
|
||||
@@ -212,6 +215,7 @@ And much more.
|
||||
<li class="active"><a href="._summary-bs030.html">31</a></li>
|
||||
<li><a href="._summary-bs031.html">32</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs031.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
('Adversarial learning', 2, None, '___sec20'),
|
||||
('Dual learning', 2, None, '___sec21'),
|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec24'),
|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
||||
None,
|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -179,14 +181,20 @@ MathJax.Hub.Config({
|
||||
<a name="part0031"></a>
|
||||
<!-- !split -->
|
||||
|
||||
<h2 id="___sec30" class="anchor">The last words? </h2>
|
||||
<h2 id="___sec30" class="anchor">Social machine learning </h2>
|
||||
|
||||
<p>
|
||||
Early computer scientist Alan Kay said, <b>The best way to predict the
|
||||
future is to create it</b>. Therefore, all machine learning
|
||||
practitioners, whether scholars or engineers, professors or students,
|
||||
need to work together to advance these important research
|
||||
topics. Together, we will not just predict the future, but create it.
|
||||
Machine learning aims to imitate how humans
|
||||
learn. While we have developed successful machine learning algorithms,
|
||||
until now we have ignored one important fact: humans are social. Each
|
||||
of us is one part of the total society and it is difficult for us to
|
||||
live, learn, and improve ourselves, alone and isolated. Therefore, we
|
||||
should design machines with social properties. Can we let machines
|
||||
evolve by imitating human society so as to achieve more effective,
|
||||
intelligent, interpretable “social machine learning”?
|
||||
|
||||
<p>
|
||||
And much more.
|
||||
|
||||
<p>
|
||||
<p>
|
||||
@@ -205,6 +213,7 @@ topics. Together, we will not just predict the future, but create it.
|
||||
<li><a href="._summary-bs030.html">31</a></li>
|
||||
<li class="active"><a href="._summary-bs031.html">32</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs032.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
('Adversarial learning', 2, None, '___sec20'),
|
||||
('Dual learning', 2, None, '___sec21'),
|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec24'),
|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
||||
None,
|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -179,11 +181,16 @@ MathJax.Hub.Config({
|
||||
<a name="part0032"></a>
|
||||
<!-- !split -->
|
||||
|
||||
<h2 id="___sec31" class="anchor">Best wishes to you all and thanks so much for your heroic efforts this semester </h2>
|
||||
<h2 id="___sec31" class="anchor">The last words? </h2>
|
||||
|
||||
<p>
|
||||
<br /><br /><center><p><img src="figures/Nebbdyr2.png" align="bottom" width=500></p></center><br /><br />
|
||||
Early computer scientist Alan Kay said, <b>The best way to predict the
|
||||
future is to create it</b>. Therefore, all machine learning
|
||||
practitioners, whether scholars or engineers, professors or students,
|
||||
need to work together to advance these important research
|
||||
topics. Together, we will not just predict the future, but create it.
|
||||
|
||||
<p>
|
||||
<p>
|
||||
<!-- navigation buttons at the bottom of the page -->
|
||||
<ul class="pagination">
|
||||
@@ -199,6 +206,8 @@ MathJax.Hub.Config({
|
||||
<li><a href="._summary-bs030.html">31</a></li>
|
||||
<li><a href="._summary-bs031.html">32</a></li>
|
||||
<li class="active"><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs033.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
|
||||
@@ -73,28 +73,29 @@ Automatically generated HTML file from DocOnce source
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
('Adversarial learning', 2, None, '___sec20'),
|
||||
('Dual learning', 2, None, '___sec21'),
|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec24'),
|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
||||
None,
|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -149,21 +150,22 @@ MathJax.Hub.Config({
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs015.html#___sec14" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs016.html#___sec15" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs017.html#___sec16" style="font-size: 80%;">What's the future like?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs018.html#___sec17" style="font-size: 80%;">Bayesian Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs019.html#___sec18" style="font-size: 80%;">Reinforcement Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs020.html#___sec19" style="font-size: 80%;">Transfer learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs021.html#___sec20" style="font-size: 80%;">Adversarial learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs022.html#___sec21" style="font-size: 80%;">Dual learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs023.html#___sec22" style="font-size: 80%;">Distributed machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs024.html#___sec23" style="font-size: 80%;">Meta learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs025.html#___sec24" style="font-size: 80%;">The Challenges Facing Machine Learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs026.html#___sec25" style="font-size: 80%;">Explainable machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs027.html#___sec26" style="font-size: 80%;">Quantum machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs028.html#___sec27" style="font-size: 80%;">Quantum machine learning algorithms based on linear algebra</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs029.html#___sec28" style="font-size: 80%;">Quantum reinforcement learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs030.html#___sec29" style="font-size: 80%;">Quantum deep learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs031.html#___sec30" style="font-size: 80%;">Social machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs032.html#___sec31" style="font-size: 80%;">The last words?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs033.html#___sec32" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -198,7 +200,7 @@ MathJax.Hub.Config({
|
||||
<center>[2] <b>National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
|
||||
<br>
|
||||
<p>
|
||||
<center><h4>Nov 27, 2019</h4></center> <!-- date -->
|
||||
<center><h4>Nov 28, 2019</h4></center> <!-- date -->
|
||||
<br>
|
||||
<p>
|
||||
|
||||
@@ -222,7 +224,7 @@ MathJax.Hub.Config({
|
||||
<li><a href="._summary-bs008.html">9</a></li>
|
||||
<li><a href="._summary-bs009.html">10</a></li>
|
||||
<li><a href="">...</a></li>
|
||||
<li><a href="._summary-bs032.html">33</a></li>
|
||||
<li><a href="._summary-bs033.html">34</a></li>
|
||||
<li><a href="._summary-bs001.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -148,7 +148,7 @@ MathJax.Hub.Config({
|
||||
<center>[2] <b>National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
|
||||
<br>
|
||||
<p> <br>
|
||||
<center><h4>Nov 27, 2019</h4></center> <!-- date -->
|
||||
<center><h4>Nov 28, 2019</h4></center> <!-- date -->
|
||||
<br>
|
||||
<p>
|
||||
|
||||
@@ -161,7 +161,6 @@ MathJax.Hub.Config({
|
||||
<section>
|
||||
<h2 id="___sec0">What? Me worry? No final exam in this course! </h2>
|
||||
<br /><br /><center><p><img src="figures/exam1.jpeg" align="bottom" width=500></p></center><br /><br />
|
||||
<br /><br /><center><p><img src="figures/whatmeworry.jpeg" align="bottom" width=500></p></center><br /><br />
|
||||
</section>
|
||||
|
||||
|
||||
@@ -199,7 +198,6 @@ The following topics will be covered
|
||||
<ol>
|
||||
<p><li> Basic concepts, expectation values, variance, covariance, correlation functions and errors;</li>
|
||||
<p><li> Simpler models, binomial distribution, the Poisson distribution, simple and multivariate normal distributions;</li>
|
||||
<p><li> Central elements of Bayesian statistics and modeling;</li>
|
||||
<p><li> Central elements from linear algebra</li>
|
||||
<p><li> Gradient methods for data optimization</li>
|
||||
<p><li> Estimation of errors using cross-validation, blocking, bootstrapping and jackknife methods;</li>
|
||||
@@ -455,7 +453,23 @@ networks have been proposed, such as
|
||||
|
||||
|
||||
<section>
|
||||
<h2 id="___sec17">Reinforcement Learning </h2>
|
||||
<h2 id="___sec17">Bayesian Machine Learning </h2>
|
||||
|
||||
<p>
|
||||
This is an important topic if we aim at extracting a probability
|
||||
distribution. This gives us also a confidence interval and error
|
||||
estimates.
|
||||
|
||||
<p>
|
||||
Bayesian machine learning allows us to encode our prior beliefs about
|
||||
what those models should look like, independent of what the data tells
|
||||
us. This is especially useful when we don’t have a ton of data to
|
||||
confidently learn our model.
|
||||
</section>
|
||||
|
||||
|
||||
<section>
|
||||
<h2 id="___sec18">Reinforcement Learning </h2>
|
||||
|
||||
<p>
|
||||
Reinforcement learning is a sub-area of machine learning. It studies
|
||||
@@ -479,7 +493,7 @@ learning.
|
||||
|
||||
|
||||
<section>
|
||||
<h2 id="___sec18">Transfer learning </h2>
|
||||
<h2 id="___sec19">Transfer learning </h2>
|
||||
|
||||
<p>
|
||||
The goal of transfer learning is to transfer the model or knowledge
|
||||
@@ -495,7 +509,7 @@ solved in this space.
|
||||
|
||||
|
||||
<section>
|
||||
<h2 id="___sec19">Adversarial learning </h2>
|
||||
<h2 id="___sec20">Adversarial learning </h2>
|
||||
|
||||
<p>
|
||||
The conventional deep generative model has a potential problem: the
|
||||
@@ -511,7 +525,7 @@ successfully applied to image, speech, and text.
|
||||
|
||||
|
||||
<section>
|
||||
<h2 id="___sec20">Dual learning </h2>
|
||||
<h2 id="___sec21">Dual learning </h2>
|
||||
|
||||
<p>
|
||||
Dual learning is a new learning paradigm, the basic idea of which is
|
||||
@@ -527,7 +541,7 @@ image-to-text, and text-to-image.
|
||||
|
||||
|
||||
<section>
|
||||
<h2 id="___sec21">Distributed machine learning </h2>
|
||||
<h2 id="___sec22">Distributed machine learning </h2>
|
||||
|
||||
<p>
|
||||
Distributed computation will speed up machine learning algorithms,
|
||||
@@ -538,7 +552,7 @@ implementing the machine learning algorithms in parallel is required.
|
||||
|
||||
|
||||
<section>
|
||||
<h2 id="___sec22">Meta learning </h2>
|
||||
<h2 id="___sec23">Meta learning </h2>
|
||||
|
||||
<p>
|
||||
Meta learning is an emerging research direction in machine
|
||||
@@ -552,7 +566,7 @@ tasks.
|
||||
|
||||
|
||||
<section>
|
||||
<h2 id="___sec23">The Challenges Facing Machine Learning </h2>
|
||||
<h2 id="___sec24">The Challenges Facing Machine Learning </h2>
|
||||
|
||||
<p>
|
||||
While there has been much progress in machine learning, there are also challenges.
|
||||
@@ -577,7 +591,7 @@ the next ten years will be.
|
||||
|
||||
|
||||
<section>
|
||||
<h2 id="___sec24">Explainable machine learning </h2>
|
||||
<h2 id="___sec25">Explainable machine learning </h2>
|
||||
|
||||
<p>
|
||||
Machine learning, especially deep learning, evolves rapidly. The
|
||||
@@ -599,7 +613,7 @@ problems by logical reasoning.
|
||||
|
||||
|
||||
<section>
|
||||
<h2 id="___sec25">Quantum machine learning </h2>
|
||||
<h2 id="___sec26">Quantum machine learning </h2>
|
||||
|
||||
<p>
|
||||
Quantum machine learning is an emerging interdisciplinary research
|
||||
@@ -624,7 +638,7 @@ computing systems.
|
||||
|
||||
|
||||
<section>
|
||||
<h2 id="___sec26">Quantum machine learning algorithms based on linear algebra </h2>
|
||||
<h2 id="___sec27">Quantum machine learning algorithms based on linear algebra </h2>
|
||||
|
||||
<p>
|
||||
Many quantum machine learning algorithms are based on variants of
|
||||
@@ -643,7 +657,7 @@ input data into a quantum system is as yet unknown for most cases.
|
||||
|
||||
|
||||
<section>
|
||||
<h2 id="___sec27">Quantum reinforcement learning </h2>
|
||||
<h2 id="___sec28">Quantum reinforcement learning </h2>
|
||||
|
||||
<p>
|
||||
In quantum reinforcement learning, a quantum agent interacts with the
|
||||
@@ -657,7 +671,7 @@ superconducting circuits and systems of trapped ions.
|
||||
|
||||
|
||||
<section>
|
||||
<h2 id="___sec28">Quantum deep learning </h2>
|
||||
<h2 id="___sec29">Quantum deep learning </h2>
|
||||
|
||||
<p>
|
||||
Dedicated quantum information processors, such as quantum annealers
|
||||
@@ -676,7 +690,7 @@ result.
|
||||
|
||||
|
||||
<section>
|
||||
<h2 id="___sec29">Social machine learning </h2>
|
||||
<h2 id="___sec30">Social machine learning </h2>
|
||||
|
||||
<p>
|
||||
Machine learning aims to imitate how humans
|
||||
@@ -694,7 +708,7 @@ And much more.
|
||||
|
||||
|
||||
<section>
|
||||
<h2 id="___sec30">The last words? </h2>
|
||||
<h2 id="___sec31">The last words? </h2>
|
||||
|
||||
<p>
|
||||
Early computer scientist Alan Kay said, <b>The best way to predict the
|
||||
@@ -706,7 +720,7 @@ topics. Together, we will not just predict the future, but create it.
|
||||
|
||||
|
||||
<section>
|
||||
<h2 id="___sec31">Best wishes to you all and thanks so much for your heroic efforts this semester </h2>
|
||||
<h2 id="___sec32">Best wishes to you all and thanks so much for your heroic efforts this semester </h2>
|
||||
|
||||
<p>
|
||||
<br /><br /><center><p><img src="figures/Nebbdyr2.png" align="bottom" width=500></p></center><br /><br />
|
||||
|
||||
@@ -67,28 +67,29 @@ div { text-align: justify; text-justify: inter-word; }
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
('Adversarial learning', 2, None, '___sec20'),
|
||||
('Dual learning', 2, None, '___sec21'),
|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec24'),
|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
||||
None,
|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -130,14 +131,13 @@ MathJax.Hub.Config({
|
||||
<center>[2] <b>National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
|
||||
<br>
|
||||
<p>
|
||||
<center><h4>Nov 27, 2019</h4></center> <!-- date -->
|
||||
<center><h4>Nov 28, 2019</h4></center> <!-- date -->
|
||||
<br>
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec0">What? Me worry? No final exam in this course! </h2>
|
||||
<br /><br /><center><p><img src="figures/exam1.jpeg" align="bottom" width=500></p></center><br /><br />
|
||||
<br /><br /><center><p><img src="figures/whatmeworry.jpeg" align="bottom" width=500></p></center><br /><br />
|
||||
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
@@ -174,7 +174,6 @@ The following topics will be covered
|
||||
<ol>
|
||||
<li> Basic concepts, expectation values, variance, covariance, correlation functions and errors;</li>
|
||||
<li> Simpler models, binomial distribution, the Poisson distribution, simple and multivariate normal distributions;</li>
|
||||
<li> Central elements of Bayesian statistics and modeling;</li>
|
||||
<li> Central elements from linear algebra</li>
|
||||
<li> Gradient methods for data optimization</li>
|
||||
<li> Estimation of errors using cross-validation, blocking, bootstrapping and jackknife methods;</li>
|
||||
@@ -413,7 +412,23 @@ networks have been proposed, such as
|
||||
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec17">Reinforcement Learning </h2>
|
||||
<h2 id="___sec17">Bayesian Machine Learning </h2>
|
||||
|
||||
<p>
|
||||
This is an important topic if we aim at extracting a probability
|
||||
distribution. This gives us also a confidence interval and error
|
||||
estimates.
|
||||
|
||||
<p>
|
||||
Bayesian machine learning allows us to encode our prior beliefs about
|
||||
what those models should look like, independent of what the data tells
|
||||
us. This is especially useful when we don’t have a ton of data to
|
||||
confidently learn our model.
|
||||
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec18">Reinforcement Learning </h2>
|
||||
|
||||
<p>
|
||||
Reinforcement learning is a sub-area of machine learning. It studies
|
||||
@@ -437,7 +452,7 @@ learning.
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec18">Transfer learning </h2>
|
||||
<h2 id="___sec19">Transfer learning </h2>
|
||||
|
||||
<p>
|
||||
The goal of transfer learning is to transfer the model or knowledge
|
||||
@@ -453,7 +468,7 @@ solved in this space.
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec19">Adversarial learning </h2>
|
||||
<h2 id="___sec20">Adversarial learning </h2>
|
||||
|
||||
<p>
|
||||
The conventional deep generative model has a potential problem: the
|
||||
@@ -469,7 +484,7 @@ successfully applied to image, speech, and text.
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec20">Dual learning </h2>
|
||||
<h2 id="___sec21">Dual learning </h2>
|
||||
|
||||
<p>
|
||||
Dual learning is a new learning paradigm, the basic idea of which is
|
||||
@@ -485,7 +500,7 @@ image-to-text, and text-to-image.
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec21">Distributed machine learning </h2>
|
||||
<h2 id="___sec22">Distributed machine learning </h2>
|
||||
|
||||
<p>
|
||||
Distributed computation will speed up machine learning algorithms,
|
||||
@@ -496,7 +511,7 @@ implementing the machine learning algorithms in parallel is required.
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec22">Meta learning </h2>
|
||||
<h2 id="___sec23">Meta learning </h2>
|
||||
|
||||
<p>
|
||||
Meta learning is an emerging research direction in machine
|
||||
@@ -510,7 +525,7 @@ tasks.
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec23">The Challenges Facing Machine Learning </h2>
|
||||
<h2 id="___sec24">The Challenges Facing Machine Learning </h2>
|
||||
|
||||
<p>
|
||||
While there has been much progress in machine learning, there are also challenges.
|
||||
@@ -535,7 +550,7 @@ the next ten years will be.
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec24">Explainable machine learning </h2>
|
||||
<h2 id="___sec25">Explainable machine learning </h2>
|
||||
|
||||
<p>
|
||||
Machine learning, especially deep learning, evolves rapidly. The
|
||||
@@ -557,7 +572,7 @@ problems by logical reasoning.
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec25">Quantum machine learning </h2>
|
||||
<h2 id="___sec26">Quantum machine learning </h2>
|
||||
|
||||
<p>
|
||||
Quantum machine learning is an emerging interdisciplinary research
|
||||
@@ -582,7 +597,7 @@ computing systems.
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec26">Quantum machine learning algorithms based on linear algebra </h2>
|
||||
<h2 id="___sec27">Quantum machine learning algorithms based on linear algebra </h2>
|
||||
|
||||
<p>
|
||||
Many quantum machine learning algorithms are based on variants of
|
||||
@@ -601,7 +616,7 @@ input data into a quantum system is as yet unknown for most cases.
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec27">Quantum reinforcement learning </h2>
|
||||
<h2 id="___sec28">Quantum reinforcement learning </h2>
|
||||
|
||||
<p>
|
||||
In quantum reinforcement learning, a quantum agent interacts with the
|
||||
@@ -615,7 +630,7 @@ superconducting circuits and systems of trapped ions.
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec28">Quantum deep learning </h2>
|
||||
<h2 id="___sec29">Quantum deep learning </h2>
|
||||
|
||||
<p>
|
||||
Dedicated quantum information processors, such as quantum annealers
|
||||
@@ -634,7 +649,7 @@ result.
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec29">Social machine learning </h2>
|
||||
<h2 id="___sec30">Social machine learning </h2>
|
||||
|
||||
<p>
|
||||
Machine learning aims to imitate how humans
|
||||
@@ -652,7 +667,7 @@ And much more.
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec30">The last words? </h2>
|
||||
<h2 id="___sec31">The last words? </h2>
|
||||
|
||||
<p>
|
||||
Early computer scientist Alan Kay said, <b>The best way to predict the
|
||||
@@ -664,7 +679,7 @@ topics. Together, we will not just predict the future, but create it.
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec31">Best wishes to you all and thanks so much for your heroic efforts this semester </h2>
|
||||
<h2 id="___sec32">Best wishes to you all and thanks so much for your heroic efforts this semester </h2>
|
||||
|
||||
<p>
|
||||
<br /><br /><center><p><img src="figures/Nebbdyr2.png" align="bottom" width=500></p></center><br /><br />
|
||||
|
||||
@@ -72,28 +72,29 @@ div { text-align: justify; text-justify: inter-word; }
|
||||
'___sec14'),
|
||||
('Additional courses of interest', 2, None, '___sec15'),
|
||||
("What's the future like?", 2, None, '___sec16'),
|
||||
('Reinforcement Learning', 2, None, '___sec17'),
|
||||
('Transfer learning', 2, None, '___sec18'),
|
||||
('Adversarial learning', 2, None, '___sec19'),
|
||||
('Dual learning', 2, None, '___sec20'),
|
||||
('Distributed machine learning', 2, None, '___sec21'),
|
||||
('Meta learning', 2, None, '___sec22'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec23'),
|
||||
('Explainable machine learning', 2, None, '___sec24'),
|
||||
('Quantum machine learning', 2, None, '___sec25'),
|
||||
('Bayesian Machine Learning', 2, None, '___sec17'),
|
||||
('Reinforcement Learning', 2, None, '___sec18'),
|
||||
('Transfer learning', 2, None, '___sec19'),
|
||||
('Adversarial learning', 2, None, '___sec20'),
|
||||
('Dual learning', 2, None, '___sec21'),
|
||||
('Distributed machine learning', 2, None, '___sec22'),
|
||||
('Meta learning', 2, None, '___sec23'),
|
||||
('The Challenges Facing Machine Learning', 2, None, '___sec24'),
|
||||
('Explainable machine learning', 2, None, '___sec25'),
|
||||
('Quantum machine learning', 2, None, '___sec26'),
|
||||
('Quantum machine learning algorithms based on linear algebra',
|
||||
2,
|
||||
None,
|
||||
'___sec26'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec27'),
|
||||
('Quantum deep learning', 2, None, '___sec28'),
|
||||
('Social machine learning', 2, None, '___sec29'),
|
||||
('The last words?', 2, None, '___sec30'),
|
||||
'___sec27'),
|
||||
('Quantum reinforcement learning', 2, None, '___sec28'),
|
||||
('Quantum deep learning', 2, None, '___sec29'),
|
||||
('Social machine learning', 2, None, '___sec30'),
|
||||
('The last words?', 2, None, '___sec31'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec31')]}
|
||||
'___sec32')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -135,14 +136,13 @@ MathJax.Hub.Config({
|
||||
<center>[2] <b>National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
|
||||
<br>
|
||||
<p>
|
||||
<center><h4>Nov 27, 2019</h4></center> <!-- date -->
|
||||
<center><h4>Nov 28, 2019</h4></center> <!-- date -->
|
||||
<br>
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec0">What? Me worry? No final exam in this course! </h2>
|
||||
<br /><br /><center><p><img src="figures/exam1.jpeg" align="bottom" width=500></p></center><br /><br />
|
||||
<br /><br /><center><p><img src="figures/whatmeworry.jpeg" align="bottom" width=500></p></center><br /><br />
|
||||
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
@@ -179,7 +179,6 @@ The following topics will be covered
|
||||
<ol>
|
||||
<li> Basic concepts, expectation values, variance, covariance, correlation functions and errors;</li>
|
||||
<li> Simpler models, binomial distribution, the Poisson distribution, simple and multivariate normal distributions;</li>
|
||||
<li> Central elements of Bayesian statistics and modeling;</li>
|
||||
<li> Central elements from linear algebra</li>
|
||||
<li> Gradient methods for data optimization</li>
|
||||
<li> Estimation of errors using cross-validation, blocking, bootstrapping and jackknife methods;</li>
|
||||
@@ -418,7 +417,23 @@ networks have been proposed, such as
|
||||
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec17">Reinforcement Learning </h2>
|
||||
<h2 id="___sec17">Bayesian Machine Learning </h2>
|
||||
|
||||
<p>
|
||||
This is an important topic if we aim at extracting a probability
|
||||
distribution. This gives us also a confidence interval and error
|
||||
estimates.
|
||||
|
||||
<p>
|
||||
Bayesian machine learning allows us to encode our prior beliefs about
|
||||
what those models should look like, independent of what the data tells
|
||||
us. This is especially useful when we don’t have a ton of data to
|
||||
confidently learn our model.
|
||||
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec18">Reinforcement Learning </h2>
|
||||
|
||||
<p>
|
||||
Reinforcement learning is a sub-area of machine learning. It studies
|
||||
@@ -442,7 +457,7 @@ learning.
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec18">Transfer learning </h2>
|
||||
<h2 id="___sec19">Transfer learning </h2>
|
||||
|
||||
<p>
|
||||
The goal of transfer learning is to transfer the model or knowledge
|
||||
@@ -458,7 +473,7 @@ solved in this space.
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec19">Adversarial learning </h2>
|
||||
<h2 id="___sec20">Adversarial learning </h2>
|
||||
|
||||
<p>
|
||||
The conventional deep generative model has a potential problem: the
|
||||
@@ -474,7 +489,7 @@ successfully applied to image, speech, and text.
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec20">Dual learning </h2>
|
||||
<h2 id="___sec21">Dual learning </h2>
|
||||
|
||||
<p>
|
||||
Dual learning is a new learning paradigm, the basic idea of which is
|
||||
@@ -490,7 +505,7 @@ image-to-text, and text-to-image.
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec21">Distributed machine learning </h2>
|
||||
<h2 id="___sec22">Distributed machine learning </h2>
|
||||
|
||||
<p>
|
||||
Distributed computation will speed up machine learning algorithms,
|
||||
@@ -501,7 +516,7 @@ implementing the machine learning algorithms in parallel is required.
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec22">Meta learning </h2>
|
||||
<h2 id="___sec23">Meta learning </h2>
|
||||
|
||||
<p>
|
||||
Meta learning is an emerging research direction in machine
|
||||
@@ -515,7 +530,7 @@ tasks.
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec23">The Challenges Facing Machine Learning </h2>
|
||||
<h2 id="___sec24">The Challenges Facing Machine Learning </h2>
|
||||
|
||||
<p>
|
||||
While there has been much progress in machine learning, there are also challenges.
|
||||
@@ -540,7 +555,7 @@ the next ten years will be.
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec24">Explainable machine learning </h2>
|
||||
<h2 id="___sec25">Explainable machine learning </h2>
|
||||
|
||||
<p>
|
||||
Machine learning, especially deep learning, evolves rapidly. The
|
||||
@@ -562,7 +577,7 @@ problems by logical reasoning.
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec25">Quantum machine learning </h2>
|
||||
<h2 id="___sec26">Quantum machine learning </h2>
|
||||
|
||||
<p>
|
||||
Quantum machine learning is an emerging interdisciplinary research
|
||||
@@ -587,7 +602,7 @@ computing systems.
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec26">Quantum machine learning algorithms based on linear algebra </h2>
|
||||
<h2 id="___sec27">Quantum machine learning algorithms based on linear algebra </h2>
|
||||
|
||||
<p>
|
||||
Many quantum machine learning algorithms are based on variants of
|
||||
@@ -606,7 +621,7 @@ input data into a quantum system is as yet unknown for most cases.
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec27">Quantum reinforcement learning </h2>
|
||||
<h2 id="___sec28">Quantum reinforcement learning </h2>
|
||||
|
||||
<p>
|
||||
In quantum reinforcement learning, a quantum agent interacts with the
|
||||
@@ -620,7 +635,7 @@ superconducting circuits and systems of trapped ions.
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec28">Quantum deep learning </h2>
|
||||
<h2 id="___sec29">Quantum deep learning </h2>
|
||||
|
||||
<p>
|
||||
Dedicated quantum information processors, such as quantum annealers
|
||||
@@ -639,7 +654,7 @@ result.
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec29">Social machine learning </h2>
|
||||
<h2 id="___sec30">Social machine learning </h2>
|
||||
|
||||
<p>
|
||||
Machine learning aims to imitate how humans
|
||||
@@ -657,7 +672,7 @@ And much more.
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec30">The last words? </h2>
|
||||
<h2 id="___sec31">The last words? </h2>
|
||||
|
||||
<p>
|
||||
Early computer scientist Alan Kay said, <b>The best way to predict the
|
||||
@@ -669,7 +684,7 @@ topics. Together, we will not just predict the future, but create it.
|
||||
<p>
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec31">Best wishes to you all and thanks so much for your heroic efforts this semester </h2>
|
||||
<h2 id="___sec32">Best wishes to you all and thanks so much for your heroic efforts this semester </h2>
|
||||
|
||||
<p>
|
||||
<br /><br /><center><p><img src="figures/Nebbdyr2.png" align="bottom" width=500></p></center><br /><br />
|
||||
|
||||
Binary file not shown.
@@ -10,7 +10,7 @@
|
||||
"<!-- Author: --> \n",
|
||||
"**Morten Hjorth-Jensen Email morten.hjorth-jensen@fys.uio.no**, Department of Physics and Center of Mathematics for Applications, University of Oslo and National Superconducting Cyclotron Laboratory, Michigan State University\n",
|
||||
"\n",
|
||||
"Date: **Nov 27, 2019**\n",
|
||||
"Date: **Nov 28, 2019**\n",
|
||||
"\n",
|
||||
"Copyright 1999-2019, Morten Hjorth-Jensen Email morten.hjorth-jensen@fys.uio.no. Released under CC Attribution-NonCommercial 4.0 license\n",
|
||||
"\n",
|
||||
@@ -26,14 +26,6 @@
|
||||
"\n",
|
||||
"<!-- end figure -->\n",
|
||||
"\n",
|
||||
"<!-- dom:FIGURE: [figures/whatmeworry.jpeg, width=500 frac=0.6] -->\n",
|
||||
"<!-- begin figure -->\n",
|
||||
"\n",
|
||||
"<p></p>\n",
|
||||
"<img src=\"figures/whatmeworry.jpeg\" width=500>\n",
|
||||
"\n",
|
||||
"<!-- end figure -->\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"## What did I learn in school this year?\n",
|
||||
@@ -66,17 +58,15 @@
|
||||
"\n",
|
||||
"2. Simpler models, binomial distribution, the Poisson distribution, simple and multivariate normal distributions;\n",
|
||||
"\n",
|
||||
"3. Central elements of Bayesian statistics and modeling;\n",
|
||||
"3. Central elements from linear algebra\n",
|
||||
"\n",
|
||||
"4. Central elements from linear algebra\n",
|
||||
"4. Gradient methods for data optimization\n",
|
||||
"\n",
|
||||
"5. Gradient methods for data optimization\n",
|
||||
"5. Estimation of errors using cross-validation, blocking, bootstrapping and jackknife methods;\n",
|
||||
"\n",
|
||||
"6. Estimation of errors using cross-validation, blocking, bootstrapping and jackknife methods;\n",
|
||||
"6. Practical optimization using Singular-value decomposition and least squares for parameterizing data.\n",
|
||||
"\n",
|
||||
"7. Practical optimization using Singular-value decomposition and least squares for parameterizing data.\n",
|
||||
"\n",
|
||||
"8. Principal Component Analysis.\n",
|
||||
"7. Principal Component Analysis.\n",
|
||||
"\n",
|
||||
"## Machine learning\n",
|
||||
"\n",
|
||||
@@ -275,6 +265,20 @@
|
||||
"\n",
|
||||
"3. Encoder-decoder framework, which is mostly used for image or sequence generation, such as machine translation, text summarization, and image captioning.\n",
|
||||
"\n",
|
||||
"## Bayesian Machine Learning\n",
|
||||
"\n",
|
||||
"This is an important topic if we aim at extracting a probability\n",
|
||||
"distribution. This gives us also a confidence interval and error\n",
|
||||
"estimates.\n",
|
||||
"\n",
|
||||
"Bayesian machine learning allows us to encode our prior beliefs about\n",
|
||||
"what those models should look like, independent of what the data tells\n",
|
||||
"us. This is especially useful when we don’t have a ton of data to\n",
|
||||
"confidently learn our model.\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"## Reinforcement Learning\n",
|
||||
"\n",
|
||||
"Reinforcement learning is a sub-area of machine learning. It studies\n",
|
||||
|
||||
Binary file not shown.
@@ -6,7 +6,6 @@ DATE: today
|
||||
!split
|
||||
===== What? Me worry? No final exam in this course! =====
|
||||
FIGURE: [figures/exam1.jpeg, width=500 frac=0.6]
|
||||
FIGURE: [figures/whatmeworry.jpeg, width=500 frac=0.6]
|
||||
|
||||
|
||||
!split
|
||||
@@ -32,7 +31,6 @@ o Machine learning
|
||||
The following topics will be covered
|
||||
o Basic concepts, expectation values, variance, covariance, correlation functions and errors;
|
||||
o Simpler models, binomial distribution, the Poisson distribution, simple and multivariate normal distributions;
|
||||
o Central elements of Bayesian statistics and modeling;
|
||||
o Central elements from linear algebra
|
||||
o Gradient methods for data optimization
|
||||
o Estimation of errors using cross-validation, blocking, bootstrapping and jackknife methods;
|
||||
@@ -201,6 +199,22 @@ o Convolutional neural networks, which are mostly used in image and video data p
|
||||
o Recurrent neural networks, which can process sequential data of variable length and have been widely used in natural language understanding and speech processing;
|
||||
o Encoder-decoder framework, which is mostly used for image or sequence generation, such as machine translation, text summarization, and image captioning.
|
||||
|
||||
|
||||
!split
|
||||
===== Bayesian Machine Learning =====
|
||||
|
||||
This is an important topic if we aim at extracting a probability
|
||||
distribution. This gives us also a confidence interval and error
|
||||
estimates.
|
||||
|
||||
Bayesian machine learning allows us to encode our prior beliefs about
|
||||
what those models should look like, independent of what the data tells
|
||||
us. This is especially useful when we don’t have a ton of data to
|
||||
confidently learn our model.
|
||||
|
||||
|
||||
|
||||
|
||||
!split
|
||||
===== Reinforcement Learning =====
|
||||
|
||||
|
||||
Reference in New Issue
Block a user