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took out some stuff

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mhjensen
2019-11-27 22:21:59 +01:00
parent 40ad275992
commit 4d6235a552
18 changed files with 31 additions and 70 deletions
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doc/pub/summary/html/._summary-bs000.html
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@@ -72,7 +72,7 @@ Automatically generated HTML file from DocOnce source
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@@ -148,7 +148,7 @@ MathJax.Hub.Config({
<!-- navigation toc: --> <li><a href="._summary-bs014.html#___sec13" style="font-size: 80%;">Resampling</a></li>
<!-- 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%;">Hot Topics Now</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>
doc/pub/summary/html/._summary-bs001.html
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@@ -72,7 +72,7 @@ Automatically generated HTML file from DocOnce source
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'___sec14'),
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@@ -148,7 +148,7 @@ MathJax.Hub.Config({
<!-- navigation toc: --> <li><a href="._summary-bs014.html#___sec13" style="font-size: 80%;">Resampling</a></li>
<!-- 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%;">Hot Topics Now</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>
doc/pub/summary/html/._summary-bs002.html
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@@ -72,7 +72,7 @@ Automatically generated HTML file from DocOnce source
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@@ -148,7 +148,7 @@ MathJax.Hub.Config({
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<!-- 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%;">Hot Topics Now</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>
doc/pub/summary/html/._summary-bs003.html
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@@ -72,7 +72,7 @@ Automatically generated HTML file from DocOnce source
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@@ -148,7 +148,7 @@ MathJax.Hub.Config({
<!-- navigation toc: --> <li><a href="._summary-bs014.html#___sec13" style="font-size: 80%;">Resampling</a></li>
<!-- 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%;">Hot Topics Now</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>
doc/pub/summary/html/._summary-bs004.html
+2 -2
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@@ -72,7 +72,7 @@ Automatically generated HTML file from DocOnce source
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'___sec14'),
('Additional courses of interest', 2, None, '___sec15'),
('Hot Topics Now', 2, None, '___sec16'),
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('Transfer learning', 2, None, '___sec18'),
('Adversarial learning', 2, None, '___sec19'),
@@ -148,7 +148,7 @@ MathJax.Hub.Config({
<!-- navigation toc: --> <li><a href="._summary-bs014.html#___sec13" style="font-size: 80%;">Resampling</a></li>
<!-- 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%;">Hot Topics Now</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>
doc/pub/summary/html/._summary-bs005.html
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@@ -72,7 +72,7 @@ Automatically generated HTML file from DocOnce source
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'___sec14'),
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('Hot Topics Now', 2, None, '___sec16'),
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('Transfer learning', 2, None, '___sec18'),
('Adversarial learning', 2, None, '___sec19'),
@@ -148,7 +148,7 @@ MathJax.Hub.Config({
<!-- navigation toc: --> <li><a href="._summary-bs014.html#___sec13" style="font-size: 80%;">Resampling</a></li>
<!-- 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%;">Hot Topics Now</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>
doc/pub/summary/html/._summary-bs006.html
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@@ -72,7 +72,7 @@ Automatically generated HTML file from DocOnce source
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('Transfer learning', 2, None, '___sec18'),
('Adversarial learning', 2, None, '___sec19'),
@@ -148,7 +148,7 @@ MathJax.Hub.Config({
<!-- navigation toc: --> <li><a href="._summary-bs014.html#___sec13" style="font-size: 80%;">Resampling</a></li>
<!-- 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%;">Hot Topics Now</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>
doc/pub/summary/html/._summary-bs007.html
+2 -2
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@@ -72,7 +72,7 @@ Automatically generated HTML file from DocOnce source
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'___sec14'),
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('Transfer learning', 2, None, '___sec18'),
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@@ -148,7 +148,7 @@ MathJax.Hub.Config({
<!-- navigation toc: --> <li><a href="._summary-bs014.html#___sec13" style="font-size: 80%;">Resampling</a></li>
<!-- 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%;">Hot Topics Now</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>
doc/pub/summary/html/._summary-bs008.html
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@@ -72,7 +72,7 @@ Automatically generated HTML file from DocOnce source
None,
'___sec14'),
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('Hot Topics Now', 2, None, '___sec16'),
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@@ -148,7 +148,7 @@ MathJax.Hub.Config({
<!-- navigation toc: --> <li><a href="._summary-bs014.html#___sec13" style="font-size: 80%;">Resampling</a></li>
<!-- 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%;">Hot Topics Now</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>
doc/pub/summary/html/._summary-bs009.html
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@@ -72,7 +72,7 @@ Automatically generated HTML file from DocOnce source
None,
'___sec14'),
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('Transfer learning', 2, None, '___sec18'),
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@@ -148,7 +148,7 @@ MathJax.Hub.Config({
<!-- navigation toc: --> <li><a href="._summary-bs014.html#___sec13" style="font-size: 80%;">Resampling</a></li>
<!-- 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%;">Hot Topics Now</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>
doc/pub/summary/html/summary-bs.html
+2 -2
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@@ -72,7 +72,7 @@ Automatically generated HTML file from DocOnce source
None,
'___sec14'),
('Additional courses of interest', 2, None, '___sec15'),
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('Transfer learning', 2, None, '___sec18'),
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@@ -148,7 +148,7 @@ MathJax.Hub.Config({
<!-- navigation toc: --> <li><a href="._summary-bs014.html#___sec13" style="font-size: 80%;">Resampling</a></li>
<!-- 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%;">Hot Topics Now</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>
doc/pub/summary/html/summary-reveal.html
+1 -9
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@@ -431,17 +431,9 @@ The link here <a href="https://www.mn.uio.no/english/research/about/centre-focus
<section>
<h2 id="___sec16">Hot Topics Now </h2>
<h2 id="___sec16">What's the future like? </h2>
<ol>
<p><li> Boosting techniques and complex neural networks</li>
<p><li> <a href="https://medium.com/@ml.at.berkeley/trickingneural-networks-create-your-own-adversarial-examples-a61eb7620fd8" target="_blank">Adversarial examples</a></li>
<p><li> <a href="https://arxiv.org/pdf/1707.00600" target="_blank">Zero shot learning</a></li>
<p><li> Transfer learning</li>
<p><li> <a href="https://christophm.github.io/interpretable-mlbook/interpretability.html" target="_blank">Model interpretability</a></li>
</ol>
<p>
Based on multi-layer nonlinear neural networks, deep learning can
learn directly from raw data, automatically extract and abstract
features from layer to layer, and then achieve the goal of regression,
doc/pub/summary/html/summary-solarized.html
+3 -10
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@@ -66,7 +66,7 @@ div { text-align: justify; text-justify: inter-word; }
None,
'___sec14'),
('Additional courses of interest', 2, None, '___sec15'),
('Hot Topics Now', 2, None, '___sec16'),
("What's the future like?", 2, None, '___sec16'),
('Reinforcement Learning', 2, None, '___sec17'),
('Transfer learning', 2, None, '___sec18'),
('Adversarial learning', 2, None, '___sec19'),
@@ -390,16 +390,9 @@ The link here <a href="https://www.mn.uio.no/english/research/about/centre-focus
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
<h2 id="___sec16">Hot Topics Now </h2>
<ol>
<li> Boosting techniques and complex neural networks</li>
<li> <a href="https://medium.com/@ml.at.berkeley/trickingneural-networks-create-your-own-adversarial-examples-a61eb7620fd8" target="_blank">Adversarial examples</a></li>
<li> <a href="https://arxiv.org/pdf/1707.00600" target="_blank">Zero shot learning</a></li>
<li> Transfer learning</li>
<li> <a href="https://christophm.github.io/interpretable-mlbook/interpretability.html" target="_blank">Model interpretability</a></li>
</ol>
<h2 id="___sec16">What's the future like? </h2>
<p>
Based on multi-layer nonlinear neural networks, deep learning can
learn directly from raw data, automatically extract and abstract
features from layer to layer, and then achieve the goal of regression,
doc/pub/summary/html/summary.html
+3 -10
View File
@@ -71,7 +71,7 @@ div { text-align: justify; text-justify: inter-word; }
None,
'___sec14'),
('Additional courses of interest', 2, None, '___sec15'),
('Hot Topics Now', 2, None, '___sec16'),
("What's the future like?", 2, None, '___sec16'),
('Reinforcement Learning', 2, None, '___sec17'),
('Transfer learning', 2, None, '___sec18'),
('Adversarial learning', 2, None, '___sec19'),
@@ -395,16 +395,9 @@ The link here <a href="https://www.mn.uio.no/english/research/about/centre-focus
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
<h2 id="___sec16">Hot Topics Now </h2>
<ol>
<li> Boosting techniques and complex neural networks</li>
<li> <a href="https://medium.com/@ml.at.berkeley/trickingneural-networks-create-your-own-adversarial-examples-a61eb7620fd8" target="_blank">Adversarial examples</a></li>
<li> <a href="https://arxiv.org/pdf/1707.00600" target="_blank">Zero shot learning</a></li>
<li> Transfer learning</li>
<li> <a href="https://christophm.github.io/interpretable-mlbook/interpretability.html" target="_blank">Model interpretability</a></li>
</ol>
<h2 id="___sec16">What's the future like? </h2>
<p>
Based on multi-layer nonlinear neural networks, deep learning can
learn directly from raw data, automatically extract and abstract
features from layer to layer, and then achieve the goal of regression,
doc/pub/summary/ipynb/ipynb-summary-src.tar.gz
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doc/pub/summary/ipynb/summary.ipynb
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@@ -257,17 +257,7 @@
"\n",
"2. [STK4021 Applied Bayesian Analysis and Numerical Methods](https://www.uio.no/studier/emner/matnat/math/STK4021/index-eng.html)\n",
"\n",
"## Hot Topics Now\n",
"\n",
"1. Boosting techniques and complex neural networks\n",
"\n",
"2. [Adversarial examples](https://medium.com/@ml.at.berkeley/trickingneural-networks-create-your-own-adversarial-examples-a61eb7620fd8)\n",
"\n",
"3. [Zero shot learning](https://arxiv.org/pdf/1707.00600)\n",
"\n",
"4. Transfer learning\n",
"\n",
"5. [Model interpretability](https://christophm.github.io/interpretable-mlbook/interpretability.html)\n",
"## What's the future like?\n",
"\n",
"Based on multi-layer nonlinear neural networks, deep learning can\n",
"learn directly from raw data, automatically extract and abstract\n",
doc/pub/summary/pdf/summary-minted.pdf
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doc/src/Summary/summary.do.txt
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@@ -185,14 +185,7 @@ o "STK4051 Computational Statistics":"https://www.uio.no/studier/emner/matnat/ma
o "STK4021 Applied Bayesian Analysis and Numerical Methods":"https://www.uio.no/studier/emner/matnat/math/STK4021/index-eng.html"
!split
===== Hot Topics Now =====
o Boosting techniques and complex neural networks
o "Adversarial examples":"https://medium.com/@ml.at.berkeley/trickingneural-networks-create-your-own-adversarial-examples-a61eb7620fd8"
o "Zero shot learning":"https://arxiv.org/pdf/1707.00600"
o Transfer learning
o "Model interpretability":"https://christophm.github.io/interpretable-mlbook/interpretability.html"
===== What's the future like? =====
Based on multi-layer nonlinear neural networks, deep learning can
learn directly from raw data, automatically extract and abstract