cleaning up
This commit is contained in:
mhjensen
@@ -59,11 +59,12 @@ Automatically generated HTML file from DocOnce source
|
||||
2,
|
||||
None,
|
||||
'___sec6'),
|
||||
('Additional courses of interest', 2, None, '___sec7'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec7')]}
|
||||
'___sec8')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -92,7 +93,8 @@ end of tocinfo -->
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs005.html#___sec4" style="font-size: 80%;">Machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs006.html#___sec5" style="font-size: 80%;">Learning outcomes and overarching aims of this course</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs007.html#___sec6" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs008.html#___sec7" 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-bs008.html#___sec7" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs009.html#___sec8" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -149,6 +151,7 @@ end of tocinfo -->
|
||||
<li><a href="._summary-bs006.html">7</a></li>
|
||||
<li><a href="._summary-bs007.html">8</a></li>
|
||||
<li><a href="._summary-bs008.html">9</a></li>
|
||||
<li><a href="._summary-bs009.html">10</a></li>
|
||||
<li><a href="._summary-bs001.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -59,11 +59,12 @@ Automatically generated HTML file from DocOnce source
|
||||
2,
|
||||
None,
|
||||
'___sec6'),
|
||||
('Additional courses of interest', 2, None, '___sec7'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec7')]}
|
||||
'___sec8')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -92,7 +93,8 @@ end of tocinfo -->
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs005.html#___sec4" style="font-size: 80%;">Machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs006.html#___sec5" style="font-size: 80%;">Learning outcomes and overarching aims of this course</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs007.html#___sec6" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs008.html#___sec7" 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-bs008.html#___sec7" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs009.html#___sec8" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -126,6 +128,7 @@ end of tocinfo -->
|
||||
<li><a href="._summary-bs006.html">7</a></li>
|
||||
<li><a href="._summary-bs007.html">8</a></li>
|
||||
<li><a href="._summary-bs008.html">9</a></li>
|
||||
<li><a href="._summary-bs009.html">10</a></li>
|
||||
<li><a href="._summary-bs002.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -59,11 +59,12 @@ Automatically generated HTML file from DocOnce source
|
||||
2,
|
||||
None,
|
||||
'___sec6'),
|
||||
('Additional courses of interest', 2, None, '___sec7'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec7')]}
|
||||
'___sec8')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -92,7 +93,8 @@ end of tocinfo -->
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs005.html#___sec4" style="font-size: 80%;">Machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs006.html#___sec5" style="font-size: 80%;">Learning outcomes and overarching aims of this course</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs007.html#___sec6" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs008.html#___sec7" 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-bs008.html#___sec7" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs009.html#___sec8" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -131,6 +133,7 @@ Does that match the experiences you have made this semester?
|
||||
<li><a href="._summary-bs006.html">7</a></li>
|
||||
<li><a href="._summary-bs007.html">8</a></li>
|
||||
<li><a href="._summary-bs008.html">9</a></li>
|
||||
<li><a href="._summary-bs009.html">10</a></li>
|
||||
<li><a href="._summary-bs003.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -59,11 +59,12 @@ Automatically generated HTML file from DocOnce source
|
||||
2,
|
||||
None,
|
||||
'___sec6'),
|
||||
('Additional courses of interest', 2, None, '___sec7'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec7')]}
|
||||
'___sec8')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -92,7 +93,8 @@ end of tocinfo -->
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs005.html#___sec4" style="font-size: 80%;">Machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs006.html#___sec5" style="font-size: 80%;">Learning outcomes and overarching aims of this course</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs007.html#___sec6" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs008.html#___sec7" 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-bs008.html#___sec7" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs009.html#___sec8" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -131,6 +133,7 @@ The course has two central parts
|
||||
<li><a href="._summary-bs006.html">7</a></li>
|
||||
<li><a href="._summary-bs007.html">8</a></li>
|
||||
<li><a href="._summary-bs008.html">9</a></li>
|
||||
<li><a href="._summary-bs009.html">10</a></li>
|
||||
<li><a href="._summary-bs004.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -59,11 +59,12 @@ Automatically generated HTML file from DocOnce source
|
||||
2,
|
||||
None,
|
||||
'___sec6'),
|
||||
('Additional courses of interest', 2, None, '___sec7'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec7')]}
|
||||
'___sec8')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -92,7 +93,8 @@ end of tocinfo -->
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs005.html#___sec4" style="font-size: 80%;">Machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs006.html#___sec5" style="font-size: 80%;">Learning outcomes and overarching aims of this course</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs007.html#___sec6" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs008.html#___sec7" 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-bs008.html#___sec7" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs009.html#___sec8" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -138,6 +140,7 @@ The following topics will be covered
|
||||
<li><a href="._summary-bs006.html">7</a></li>
|
||||
<li><a href="._summary-bs007.html">8</a></li>
|
||||
<li><a href="._summary-bs008.html">9</a></li>
|
||||
<li><a href="._summary-bs009.html">10</a></li>
|
||||
<li><a href="._summary-bs005.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -59,11 +59,12 @@ Automatically generated HTML file from DocOnce source
|
||||
2,
|
||||
None,
|
||||
'___sec6'),
|
||||
('Additional courses of interest', 2, None, '___sec7'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec7')]}
|
||||
'___sec8')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -92,7 +93,8 @@ end of tocinfo -->
|
||||
<!-- navigation toc: --> <li><a href="#___sec4" style="font-size: 80%;">Machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs006.html#___sec5" style="font-size: 80%;">Learning outcomes and overarching aims of this course</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs007.html#___sec6" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs008.html#___sec7" 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-bs008.html#___sec7" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs009.html#___sec8" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -113,18 +115,13 @@ end of tocinfo -->
|
||||
<p>
|
||||
The following topics will be covered
|
||||
|
||||
<dl>
|
||||
<dt>%s<dd>
|
||||
Linear methods for regression and classification;
|
||||
<dt>%s<dd>
|
||||
Boltzmann machines;
|
||||
<dt>%s<dd>
|
||||
Neural networks;
|
||||
<dt>%s<dd>
|
||||
Decisions trees and nearest neighbor algorithms
|
||||
<dt>%s<dd>
|
||||
Support vector machines
|
||||
</dl>
|
||||
<ol>
|
||||
<li> Linear methods for regression and classification;</li>
|
||||
<li> Boltzmann machines;</li>
|
||||
<li> Neural networks;</li>
|
||||
<li> Decisions trees and nearest neighbor algorithms</li>
|
||||
<li> Support vector machines</li>
|
||||
</ol>
|
||||
|
||||
<p>
|
||||
<!-- navigation buttons at the bottom of the page -->
|
||||
@@ -139,6 +136,7 @@ The following topics will be covered
|
||||
<li><a href="._summary-bs006.html">7</a></li>
|
||||
<li><a href="._summary-bs007.html">8</a></li>
|
||||
<li><a href="._summary-bs008.html">9</a></li>
|
||||
<li><a href="._summary-bs009.html">10</a></li>
|
||||
<li><a href="._summary-bs006.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -59,11 +59,12 @@ Automatically generated HTML file from DocOnce source
|
||||
2,
|
||||
None,
|
||||
'___sec6'),
|
||||
('Additional courses of interest', 2, None, '___sec7'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec7')]}
|
||||
'___sec8')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -92,7 +93,8 @@ end of tocinfo -->
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs005.html#___sec4" style="font-size: 80%;">Machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec5" style="font-size: 80%;">Learning outcomes and overarching aims of this course</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs007.html#___sec6" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs008.html#___sec7" 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-bs008.html#___sec7" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs009.html#___sec8" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -144,6 +146,7 @@ ethical conduct is emphasized throughout the course.
|
||||
<li class="active"><a href="._summary-bs006.html">7</a></li>
|
||||
<li><a href="._summary-bs007.html">8</a></li>
|
||||
<li><a href="._summary-bs008.html">9</a></li>
|
||||
<li><a href="._summary-bs009.html">10</a></li>
|
||||
<li><a href="._summary-bs007.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -59,11 +59,12 @@ Automatically generated HTML file from DocOnce source
|
||||
2,
|
||||
None,
|
||||
'___sec6'),
|
||||
('Additional courses of interest', 2, None, '___sec7'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec7')]}
|
||||
'___sec8')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -92,7 +93,8 @@ end of tocinfo -->
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs005.html#___sec4" style="font-size: 80%;">Machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs006.html#___sec5" style="font-size: 80%;">Learning outcomes and overarching aims of this course</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec6" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs008.html#___sec7" 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-bs008.html#___sec7" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs009.html#___sec8" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -116,7 +118,7 @@ The link here <a href="https://www.mn.uio.no/english/research/about/centre-focus
|
||||
<ol>
|
||||
<li> <a href="http://www.uio.no/studier/emner/matnat/math/STK2100/index-eng.html" target="_self">STK2100 Machine learning and statistical methods for prediction and classification</a>.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN3050/index-eng.html" target="_self">IN3050 Introduction to Artificial Intelligence and Machine Learning</a>. Introductory course in machine learning and AI with an algorithmic approach.</li>
|
||||
<li> "STK-INF3000/4000 Selected Topics in Data Science:"http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html". The course provides insight into selected contemporary relevant topics within Data Science.</li>
|
||||
<li> <a href="http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html" target="_self">STK-INF3000/4000 Selected Topics in Data Science</a>. The course provides insight into selected contemporary relevant topics within Data Science.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN4080/index.html" target="_self">IN4080 Natural Language Processing</a>. Probabilistic and machine learning techniques applied to natural language processing.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/index-eng.html" target="_self">STK-IN4300 – Statistical learning methods in Data Science</a>. An advanced introduction to statistical and machine learning. For students with a good mathematics and statistics background.</li>
|
||||
<li> <a href="http://www.uio.no/studier/emner/matnat/ifi/INF4490/" target="_self">INF4490 Biologically Inspired Computing</a>. An introduction to self-adapting methods also called artificial intelligence or machine learning.</li>
|
||||
@@ -138,6 +140,7 @@ The link here <a href="https://www.mn.uio.no/english/research/about/centre-focus
|
||||
<li><a href="._summary-bs006.html">7</a></li>
|
||||
<li class="active"><a href="._summary-bs007.html">8</a></li>
|
||||
<li><a href="._summary-bs008.html">9</a></li>
|
||||
<li><a href="._summary-bs009.html">10</a></li>
|
||||
<li><a href="._summary-bs008.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -59,11 +59,12 @@ Automatically generated HTML file from DocOnce source
|
||||
2,
|
||||
None,
|
||||
'___sec6'),
|
||||
('Additional courses of interest', 2, None, '___sec7'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec7')]}
|
||||
'___sec8')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -92,7 +93,8 @@ end of tocinfo -->
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs005.html#___sec4" style="font-size: 80%;">Machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs006.html#___sec5" style="font-size: 80%;">Learning outcomes and overarching aims of this course</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs007.html#___sec6" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec7" 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="#___sec7" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs009.html#___sec8" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -108,12 +110,12 @@ end of tocinfo -->
|
||||
<a name="part0008"></a>
|
||||
<!-- !split -->
|
||||
|
||||
<h2 id="___sec7" class="anchor">Best wishes to you all and thanks so much for your heroic efforts this semester </h2>
|
||||
<h2 id="___sec7" class="anchor">Additional courses of interest </h2>
|
||||
|
||||
<p>
|
||||
<br /><br /><center><p><img src="figures/Nebbdyr2.png" align="bottom" width=500></p></center><br /><br />
|
||||
|
||||
<p>
|
||||
<ol>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/math/STK4051/index-eng.html" target="_self">STK4051 Computational Statistics</a></li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/math/STK4021/index-eng.html" target="_self">STK4021 Applied Bayesian Analysis and Numerical Methods</a></li>
|
||||
</ol>
|
||||
|
||||
<p>
|
||||
<!-- navigation buttons at the bottom of the page -->
|
||||
@@ -128,6 +130,8 @@ end of tocinfo -->
|
||||
<li><a href="._summary-bs006.html">7</a></li>
|
||||
<li><a href="._summary-bs007.html">8</a></li>
|
||||
<li class="active"><a href="._summary-bs008.html">9</a></li>
|
||||
<li><a href="._summary-bs009.html">10</a></li>
|
||||
<li><a href="._summary-bs009.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
|
||||
@@ -0,0 +1,157 @@
|
||||
<!--
|
||||
Automatically generated HTML file from DocOnce source
|
||||
(https://github.com/hplgit/doconce/)
|
||||
-->
|
||||
<html>
|
||||
<head>
|
||||
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
|
||||
<meta name="generator" content="DocOnce: https://github.com/hplgit/doconce/" />
|
||||
<meta name="description" content="Summary of course">
|
||||
|
||||
<title>Summary of course</title>
|
||||
|
||||
<!-- Bootstrap style: bootstrap -->
|
||||
<link href="https://netdna.bootstrapcdn.com/bootstrap/3.1.1/css/bootstrap.min.css" rel="stylesheet">
|
||||
<!-- not necessary
|
||||
<link href="https://netdna.bootstrapcdn.com/font-awesome/4.0.3/css/font-awesome.css" rel="stylesheet">
|
||||
-->
|
||||
|
||||
<style type="text/css">
|
||||
|
||||
/* Add scrollbar to dropdown menus in bootstrap navigation bar */
|
||||
.dropdown-menu {
|
||||
height: auto;
|
||||
max-height: 400px;
|
||||
overflow-x: hidden;
|
||||
}
|
||||
|
||||
/* Adds an invisible element before each target to offset for the navigation
|
||||
bar */
|
||||
.anchor::before {
|
||||
content:"";
|
||||
display:block;
|
||||
height:50px; /* fixed header height for style bootstrap */
|
||||
margin:-50px 0 0; /* negative fixed header height */
|
||||
}
|
||||
</style>
|
||||
|
||||
|
||||
</head>
|
||||
|
||||
<!-- tocinfo
|
||||
{'highest level': 2,
|
||||
'sections': [('What? Me worry? No final exam in this course!',
|
||||
2,
|
||||
None,
|
||||
'___sec0'),
|
||||
('What did I learn in school this year?', 2, None, '___sec1'),
|
||||
('Topics we have covered this year', 2, None, '___sec2'),
|
||||
('Statistical analysis and optimization of data',
|
||||
2,
|
||||
None,
|
||||
'___sec3'),
|
||||
('Machine learning', 2, None, '___sec4'),
|
||||
('Learning outcomes and overarching aims of this course',
|
||||
2,
|
||||
None,
|
||||
'___sec5'),
|
||||
('Other courses on Data science and Machine Learning at UiO',
|
||||
2,
|
||||
None,
|
||||
'___sec6'),
|
||||
('Additional courses of interest', 2, None, '___sec7'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec8')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
|
||||
|
||||
<!-- Bootstrap navigation bar -->
|
||||
<div class="navbar navbar-default navbar-fixed-top">
|
||||
<div class="navbar-header">
|
||||
<button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".navbar-responsive-collapse">
|
||||
<span class="icon-bar"></span>
|
||||
<span class="icon-bar"></span>
|
||||
<span class="icon-bar"></span>
|
||||
</button>
|
||||
<a class="navbar-brand" href="summary-bs.html">Summary of course</a>
|
||||
</div>
|
||||
|
||||
<div class="navbar-collapse collapse navbar-responsive-collapse">
|
||||
<ul class="nav navbar-nav navbar-right">
|
||||
<li class="dropdown">
|
||||
<a href="#" class="dropdown-toggle" data-toggle="dropdown">Contents <b class="caret"></b></a>
|
||||
<ul class="dropdown-menu">
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs001.html#___sec0" style="font-size: 80%;">What? Me worry? No final exam in this course!</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs002.html#___sec1" style="font-size: 80%;">What did I learn in school this year?</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs003.html#___sec2" style="font-size: 80%;">Topics we have covered this year</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs004.html#___sec3" style="font-size: 80%;">Statistical analysis and optimization of data</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs005.html#___sec4" style="font-size: 80%;">Machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs006.html#___sec5" style="font-size: 80%;">Learning outcomes and overarching aims of this course</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs007.html#___sec6" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs008.html#___sec7" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="#___sec8" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
</ul>
|
||||
</div>
|
||||
</div>
|
||||
</div> <!-- end of navigation bar -->
|
||||
|
||||
<div class="container">
|
||||
|
||||
<p> </p><p> </p><p> </p> <!-- add vertical space -->
|
||||
|
||||
<a name="part0009"></a>
|
||||
<!-- !split -->
|
||||
|
||||
<h2 id="___sec8" class="anchor">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 />
|
||||
|
||||
<p>
|
||||
|
||||
<p>
|
||||
<!-- navigation buttons at the bottom of the page -->
|
||||
<ul class="pagination">
|
||||
<li><a href="._summary-bs008.html">«</a></li>
|
||||
<li><a href="._summary-bs000.html">1</a></li>
|
||||
<li><a href="._summary-bs001.html">2</a></li>
|
||||
<li><a href="._summary-bs002.html">3</a></li>
|
||||
<li><a href="._summary-bs003.html">4</a></li>
|
||||
<li><a href="._summary-bs004.html">5</a></li>
|
||||
<li><a href="._summary-bs005.html">6</a></li>
|
||||
<li><a href="._summary-bs006.html">7</a></li>
|
||||
<li><a href="._summary-bs007.html">8</a></li>
|
||||
<li><a href="._summary-bs008.html">9</a></li>
|
||||
<li class="active"><a href="._summary-bs009.html">10</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
</div> <!-- end container -->
|
||||
<!-- include javascript, jQuery *first* -->
|
||||
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.10.2/jquery.min.js"></script>
|
||||
<script src="https://netdna.bootstrapcdn.com/bootstrap/3.0.0/js/bootstrap.min.js"></script>
|
||||
|
||||
<!-- Bootstrap footer
|
||||
<footer>
|
||||
<a href="http://..."><img width="250" align=right src="http://..."></a>
|
||||
</footer>
|
||||
-->
|
||||
|
||||
|
||||
<center style="font-size:80%">
|
||||
<!-- copyright only on the titlepage -->
|
||||
</center>
|
||||
|
||||
|
||||
</body>
|
||||
</html>
|
||||
|
||||
|
||||
@@ -59,11 +59,12 @@ Automatically generated HTML file from DocOnce source
|
||||
2,
|
||||
None,
|
||||
'___sec6'),
|
||||
('Additional courses of interest', 2, None, '___sec7'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec7')]}
|
||||
'___sec8')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -92,7 +93,8 @@ end of tocinfo -->
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs005.html#___sec4" style="font-size: 80%;">Machine learning</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs006.html#___sec5" style="font-size: 80%;">Learning outcomes and overarching aims of this course</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs007.html#___sec6" style="font-size: 80%;">Other courses on Data science and Machine Learning at UiO</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs008.html#___sec7" 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-bs008.html#___sec7" style="font-size: 80%;">Additional courses of interest</a></li>
|
||||
<!-- navigation toc: --> <li><a href="._summary-bs009.html#___sec8" style="font-size: 80%;">Best wishes to you all and thanks so much for your heroic efforts this semester</a></li>
|
||||
|
||||
</ul>
|
||||
</li>
|
||||
@@ -149,6 +151,7 @@ end of tocinfo -->
|
||||
<li><a href="._summary-bs006.html">7</a></li>
|
||||
<li><a href="._summary-bs007.html">8</a></li>
|
||||
<li><a href="._summary-bs008.html">9</a></li>
|
||||
<li><a href="._summary-bs009.html">10</a></li>
|
||||
<li><a href="._summary-bs001.html">»</a></li>
|
||||
</ul>
|
||||
<!-- ------------------- end of main content --------------- -->
|
||||
|
||||
@@ -200,18 +200,13 @@ The following topics will be covered
|
||||
<p>
|
||||
The following topics will be covered
|
||||
|
||||
<dl>
|
||||
<dt>%s<dd>
|
||||
Linear methods for regression and classification;
|
||||
<dt>%s<dd>
|
||||
Boltzmann machines;
|
||||
<dt>%s<dd>
|
||||
Neural networks;
|
||||
<dt>%s<dd>
|
||||
Decisions trees and nearest neighbor algorithms
|
||||
<dt>%s<dd>
|
||||
Support vector machines
|
||||
</dl>
|
||||
<ol>
|
||||
<p><li> Linear methods for regression and classification;</li>
|
||||
<p><li> Boltzmann machines;</li>
|
||||
<p><li> Neural networks;</li>
|
||||
<p><li> Decisions trees and nearest neighbor algorithms</li>
|
||||
<p><li> Support vector machines</li>
|
||||
</ol>
|
||||
</section>
|
||||
|
||||
|
||||
@@ -250,7 +245,7 @@ The link here <a href="https://www.mn.uio.no/english/research/about/centre-focus
|
||||
<ol>
|
||||
<p><li> <a href="http://www.uio.no/studier/emner/matnat/math/STK2100/index-eng.html" target="_blank">STK2100 Machine learning and statistical methods for prediction and classification</a>.</li>
|
||||
<p><li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN3050/index-eng.html" target="_blank">IN3050 Introduction to Artificial Intelligence and Machine Learning</a>. Introductory course in machine learning and AI with an algorithmic approach.</li>
|
||||
<p><li> "STK-INF3000/4000 Selected Topics in Data Science:"http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html". The course provides insight into selected contemporary relevant topics within Data Science.</li>
|
||||
<p><li> <a href="http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html" target="_blank">STK-INF3000/4000 Selected Topics in Data Science</a>. The course provides insight into selected contemporary relevant topics within Data Science.</li>
|
||||
<p><li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN4080/index.html" target="_blank">IN4080 Natural Language Processing</a>. Probabilistic and machine learning techniques applied to natural language processing.</li>
|
||||
<p><li> <a href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/index-eng.html" target="_blank">STK-IN4300 – Statistical learning methods in Data Science</a>. An advanced introduction to statistical and machine learning. For students with a good mathematics and statistics background.</li>
|
||||
<p><li> <a href="http://www.uio.no/studier/emner/matnat/ifi/INF4490/" target="_blank">INF4490 Biologically Inspired Computing</a>. An introduction to self-adapting methods also called artificial intelligence or machine learning.</li>
|
||||
@@ -262,7 +257,17 @@ The link here <a href="https://www.mn.uio.no/english/research/about/centre-focus
|
||||
|
||||
|
||||
<section>
|
||||
<h2 id="___sec7">Best wishes to you all and thanks so much for your heroic efforts this semester </h2>
|
||||
<h2 id="___sec7">Additional courses of interest </h2>
|
||||
|
||||
<ol>
|
||||
<p><li> <a href="https://www.uio.no/studier/emner/matnat/math/STK4051/index-eng.html" target="_blank">STK4051 Computational Statistics</a></li>
|
||||
<p><li> <a href="https://www.uio.no/studier/emner/matnat/math/STK4021/index-eng.html" target="_blank">STK4021 Applied Bayesian Analysis and Numerical Methods</a></li>
|
||||
</ol>
|
||||
</section>
|
||||
|
||||
|
||||
<section>
|
||||
<h2 id="___sec8">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 />
|
||||
|
||||
@@ -53,11 +53,12 @@ div { text-align: justify; text-justify: inter-word; }
|
||||
2,
|
||||
None,
|
||||
'___sec6'),
|
||||
('Additional courses of interest', 2, None, '___sec7'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec7')]}
|
||||
'___sec8')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -143,18 +144,13 @@ The following topics will be covered
|
||||
<p>
|
||||
The following topics will be covered
|
||||
|
||||
<dl>
|
||||
<dt>%s<dd>
|
||||
Linear methods for regression and classification;
|
||||
<dt>%s<dd>
|
||||
Boltzmann machines;
|
||||
<dt>%s<dd>
|
||||
Neural networks;
|
||||
<dt>%s<dd>
|
||||
Decisions trees and nearest neighbor algorithms
|
||||
<dt>%s<dd>
|
||||
Support vector machines
|
||||
</dl>
|
||||
<ol>
|
||||
<li> Linear methods for regression and classification;</li>
|
||||
<li> Boltzmann machines;</li>
|
||||
<li> Neural networks;</li>
|
||||
<li> Decisions trees and nearest neighbor algorithms</li>
|
||||
<li> Support vector machines</li>
|
||||
</ol>
|
||||
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
@@ -191,7 +187,7 @@ The link here <a href="https://www.mn.uio.no/english/research/about/centre-focus
|
||||
<ol>
|
||||
<li> <a href="http://www.uio.no/studier/emner/matnat/math/STK2100/index-eng.html" target="_blank">STK2100 Machine learning and statistical methods for prediction and classification</a>.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN3050/index-eng.html" target="_blank">IN3050 Introduction to Artificial Intelligence and Machine Learning</a>. Introductory course in machine learning and AI with an algorithmic approach.</li>
|
||||
<li> "STK-INF3000/4000 Selected Topics in Data Science:"http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html". The course provides insight into selected contemporary relevant topics within Data Science.</li>
|
||||
<li> <a href="http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html" target="_blank">STK-INF3000/4000 Selected Topics in Data Science</a>. The course provides insight into selected contemporary relevant topics within Data Science.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN4080/index.html" target="_blank">IN4080 Natural Language Processing</a>. Probabilistic and machine learning techniques applied to natural language processing.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/index-eng.html" target="_blank">STK-IN4300 – Statistical learning methods in Data Science</a>. An advanced introduction to statistical and machine learning. For students with a good mathematics and statistics background.</li>
|
||||
<li> <a href="http://www.uio.no/studier/emner/matnat/ifi/INF4490/" target="_blank">INF4490 Biologically Inspired Computing</a>. An introduction to self-adapting methods also called artificial intelligence or machine learning.</li>
|
||||
@@ -202,7 +198,16 @@ 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="___sec7">Best wishes to you all and thanks so much for your heroic efforts this semester </h2>
|
||||
<h2 id="___sec7">Additional courses of interest </h2>
|
||||
|
||||
<ol>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/math/STK4051/index-eng.html" target="_blank">STK4051 Computational Statistics</a></li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/math/STK4021/index-eng.html" target="_blank">STK4021 Applied Bayesian Analysis and Numerical Methods</a></li>
|
||||
</ol>
|
||||
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec8">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 />
|
||||
|
||||
@@ -58,11 +58,12 @@ div { text-align: justify; text-justify: inter-word; }
|
||||
2,
|
||||
None,
|
||||
'___sec6'),
|
||||
('Additional courses of interest', 2, None, '___sec7'),
|
||||
('Best wishes to you all and thanks so much for your heroic '
|
||||
'efforts this semester',
|
||||
2,
|
||||
None,
|
||||
'___sec7')]}
|
||||
'___sec8')]}
|
||||
end of tocinfo -->
|
||||
|
||||
<body>
|
||||
@@ -148,18 +149,13 @@ The following topics will be covered
|
||||
<p>
|
||||
The following topics will be covered
|
||||
|
||||
<dl>
|
||||
<dt>%s<dd>
|
||||
Linear methods for regression and classification;
|
||||
<dt>%s<dd>
|
||||
Boltzmann machines;
|
||||
<dt>%s<dd>
|
||||
Neural networks;
|
||||
<dt>%s<dd>
|
||||
Decisions trees and nearest neighbor algorithms
|
||||
<dt>%s<dd>
|
||||
Support vector machines
|
||||
</dl>
|
||||
<ol>
|
||||
<li> Linear methods for regression and classification;</li>
|
||||
<li> Boltzmann machines;</li>
|
||||
<li> Neural networks;</li>
|
||||
<li> Decisions trees and nearest neighbor algorithms</li>
|
||||
<li> Support vector machines</li>
|
||||
</ol>
|
||||
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
@@ -196,7 +192,7 @@ The link here <a href="https://www.mn.uio.no/english/research/about/centre-focus
|
||||
<ol>
|
||||
<li> <a href="http://www.uio.no/studier/emner/matnat/math/STK2100/index-eng.html" target="_blank">STK2100 Machine learning and statistical methods for prediction and classification</a>.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN3050/index-eng.html" target="_blank">IN3050 Introduction to Artificial Intelligence and Machine Learning</a>. Introductory course in machine learning and AI with an algorithmic approach.</li>
|
||||
<li> "STK-INF3000/4000 Selected Topics in Data Science:"http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html". The course provides insight into selected contemporary relevant topics within Data Science.</li>
|
||||
<li> <a href="http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html" target="_blank">STK-INF3000/4000 Selected Topics in Data Science</a>. The course provides insight into selected contemporary relevant topics within Data Science.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/ifi/IN4080/index.html" target="_blank">IN4080 Natural Language Processing</a>. Probabilistic and machine learning techniques applied to natural language processing.</li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/math/STK-IN4300/index-eng.html" target="_blank">STK-IN4300 – Statistical learning methods in Data Science</a>. An advanced introduction to statistical and machine learning. For students with a good mathematics and statistics background.</li>
|
||||
<li> <a href="http://www.uio.no/studier/emner/matnat/ifi/INF4490/" target="_blank">INF4490 Biologically Inspired Computing</a>. An introduction to self-adapting methods also called artificial intelligence or machine learning.</li>
|
||||
@@ -207,7 +203,16 @@ 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="___sec7">Best wishes to you all and thanks so much for your heroic efforts this semester </h2>
|
||||
<h2 id="___sec7">Additional courses of interest </h2>
|
||||
|
||||
<ol>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/math/STK4051/index-eng.html" target="_blank">STK4051 Computational Statistics</a></li>
|
||||
<li> <a href="https://www.uio.no/studier/emner/matnat/math/STK4021/index-eng.html" target="_blank">STK4021 Applied Bayesian Analysis and Numerical Methods</a></li>
|
||||
</ol>
|
||||
|
||||
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
|
||||
|
||||
<h2 id="___sec8">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.
@@ -83,25 +83,15 @@
|
||||
"## Machine learning\n",
|
||||
"\n",
|
||||
"The following topics will be covered\n",
|
||||
"%s\n",
|
||||
" : \n",
|
||||
" Linear methods for regression and classification;\n",
|
||||
"1. Linear methods for regression and classification;\n",
|
||||
"\n",
|
||||
"%s\n",
|
||||
" : \n",
|
||||
" Boltzmann machines;\n",
|
||||
"2. Boltzmann machines;\n",
|
||||
"\n",
|
||||
"%s\n",
|
||||
" : \n",
|
||||
" Neural networks;\n",
|
||||
"3. Neural networks;\n",
|
||||
"\n",
|
||||
"%s\n",
|
||||
" : \n",
|
||||
" Decisions trees and nearest neighbor algorithms\n",
|
||||
"4. Decisions trees and nearest neighbor algorithms\n",
|
||||
"\n",
|
||||
"%s\n",
|
||||
" : \n",
|
||||
" Support vector machines\n",
|
||||
"5. Support vector machines\n",
|
||||
"\n",
|
||||
"## Learning outcomes and overarching aims of this course\n",
|
||||
"\n",
|
||||
@@ -137,7 +127,7 @@
|
||||
"\n",
|
||||
"2. [IN3050 Introduction to Artificial Intelligence and Machine Learning](https://www.uio.no/studier/emner/matnat/ifi/IN3050/index-eng.html). Introductory course in machine learning and AI with an algorithmic approach. \n",
|
||||
"\n",
|
||||
"3. \"STK-INF3000/4000 Selected Topics in Data Science:\"http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html\". The course provides insight into selected contemporary relevant topics within Data Science. \n",
|
||||
"3. [STK-INF3000/4000 Selected Topics in Data Science](http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html). The course provides insight into selected contemporary relevant topics within Data Science. \n",
|
||||
"\n",
|
||||
"4. [IN4080 Natural Language Processing](https://www.uio.no/studier/emner/matnat/ifi/IN4080/index.html). Probabilistic and machine learning techniques applied to natural language processing. \n",
|
||||
"\n",
|
||||
@@ -151,6 +141,12 @@
|
||||
"\n",
|
||||
"9. [TEK5040 – Dyp læring for autonome systemer](https://www.uio.no/studier/emner/matnat/its/TEK5040/). The course addresses advanced algorithms and architectures for deep learning with neural networks. The course provides an introduction to how deep-learning techniques can be used in the construction of key parts of advanced autonomous systems that exist in physical environments and cyber environments.\n",
|
||||
"\n",
|
||||
"## Additional courses of interest\n",
|
||||
"\n",
|
||||
"1. [STK4051 Computational Statistics](https://www.uio.no/studier/emner/matnat/math/STK4051/index-eng.html)\n",
|
||||
"\n",
|
||||
"2. [STK4021 Applied Bayesian Analysis and Numerical Methods](https://www.uio.no/studier/emner/matnat/math/STK4021/index-eng.html)\n",
|
||||
"\n",
|
||||
"## Best wishes to you all and thanks so much for your heroic efforts this semester\n",
|
||||
"\n",
|
||||
"<!-- dom:FIGURE: [figures/Nebbdyr2.png, width=500 frac=0.6] -->\n",
|
||||
|
||||
Binary file not shown.
@@ -44,11 +44,11 @@ o Principal Component Analysis.
|
||||
===== Machine learning =====
|
||||
|
||||
The following topics will be covered
|
||||
- Linear methods for regression and classification;
|
||||
- Boltzmann machines;
|
||||
- Neural networks;
|
||||
- Decisions trees and nearest neighbor algorithms
|
||||
- Support vector machines
|
||||
o Linear methods for regression and classification;
|
||||
o Boltzmann machines;
|
||||
o Neural networks;
|
||||
o Decisions trees and nearest neighbor algorithms
|
||||
o Support vector machines
|
||||
|
||||
|
||||
!split
|
||||
@@ -83,21 +83,20 @@ ethical conduct is emphasized throughout the course.
|
||||
The link here URL:"https://www.mn.uio.no/english/research/about/centre-focus/innovation/data-science/studies/" gives an excellent overview of courses on Machine learning at UiO.
|
||||
|
||||
o "STK2100 Machine learning and statistical methods for prediction and classification":"http://www.uio.no/studier/emner/matnat/math/STK2100/index-eng.html".
|
||||
|
||||
o "IN3050 Introduction to Artificial Intelligence and Machine Learning":"https://www.uio.no/studier/emner/matnat/ifi/IN3050/index-eng.html". Introductory course in machine learning and AI with an algorithmic approach.
|
||||
|
||||
o "STK-INF3000/4000 Selected Topics in Data Science:"http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html". The course provides insight into selected contemporary relevant topics within Data Science.
|
||||
|
||||
o "STK-INF3000/4000 Selected Topics in Data Science":"http://www.uio.no/studier/emner/matnat/math/STK-INF3000/index-eng.html". The course provides insight into selected contemporary relevant topics within Data Science.
|
||||
o "IN4080 Natural Language Processing":"https://www.uio.no/studier/emner/matnat/ifi/IN4080/index.html". Probabilistic and machine learning techniques applied to natural language processing.
|
||||
|
||||
o "STK-IN4300 – Statistical learning methods in Data Science":"https://www.uio.no/studier/emner/matnat/math/STK-IN4300/index-eng.html". An advanced introduction to statistical and machine learning. For students with a good mathematics and statistics background.
|
||||
o "INF4490 Biologically Inspired Computing":"http://www.uio.no/studier/emner/matnat/ifi/INF4490/". An introduction to self-adapting methods also called artificial intelligence or machine learning.
|
||||
o "IN-STK5000 Adaptive Methods for Data-Based Decision Making":"https://www.uio.no/studier/emner/matnat/ifi/IN-STK5000/index-eng.html". Methods for adaptive collection and processing of data based on machine learning techniques.
|
||||
o "IN5400/INF5860 – Machine Learning for Image Analysis":"https://www.uio.no/studier/emner/matnat/ifi/IN5400/". An introduction to deep learning with particular emphasis on applications within Image analysis, but useful for other application areas too.
|
||||
o "TEK5040 – Dyp læring for autonome systemer":"https://www.uio.no/studier/emner/matnat/its/TEK5040/". The course addresses advanced algorithms and architectures for deep learning with neural networks. The course provides an introduction to how deep-learning techniques can be used in the construction of key parts of advanced autonomous systems that exist in physical environments and cyber environments.
|
||||
|
||||
!split
|
||||
===== Additional courses of interest =====
|
||||
|
||||
|
||||
o "STK4051 Computational Statistics":"https://www.uio.no/studier/emner/matnat/math/STK4051/index-eng.html"
|
||||
o "STK4021 Applied Bayesian Analysis and Numerical Methods":"https://www.uio.no/studier/emner/matnat/math/STK4021/index-eng.html"
|
||||
|
||||
!split
|
||||
===== Best wishes to you all and thanks so much for your heroic efforts this semester =====
|
||||
|
||||
Reference in New Issue
Block a user