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Morten Hjorth-Jensen
2022-09-23 15:37:35 +02:00
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commit 4a7ab2e819
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doc/pub/week38/html/._week38-bs001.html
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<ul>
<li> Lab Wednesday and Thursday: work on project 1</li>
<li> Thursday: Summary of regression methods, cross-validation and discussion of project 1. Start Logistic Regression <a href="https://youtu.be/sdt_BFla8uA" target="_self">Video of lecture</a> <a href="https://www.youtube.com/watch?v=Xz0x-8-cgaQ" target="_self">Video on Bootstrapping</a></li>
<li> Thursday: Summary of regression methods, cross-validation and discussion of project 1. Start Logistic Regression</li>
<ul>
<li> <a href="https://youtu.be/sdt_BFla8uA" target="_self">Video of lecture</a></li>
<li> <a href="https://www.youtube.com/watch?v=Xz0x-8-cgaQ" target="_self">Video on Bootstrapping</a></li>
</ul>
<li> Friday: Classification problems and Logistic Regression, from binary cases to several categories. Start optimization methods</li>
<ul>
<li> <a href="https://youtu.be/7OdqoLOphTA" target="_self">Video of lecture</a></li>
</ul>
<li> Reading recommendations:
<ol type="a"></li>
<li> See lecture notes for week 37 on cross-validation and week 38 at <a href="https://compphysics.github.io/MachineLearning/doc/web/course.html." target="_self"><tt>https://compphysics.github.io/MachineLearning/doc/web/course.html.</tt></a></li>
doc/pub/week38/html/week38-reveal.html
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<ul>
<p><li> Lab Wednesday and Thursday: work on project 1</li>
<p><li> Thursday: Summary of regression methods, cross-validation and discussion of project 1. Start Logistic Regression <a href="https://youtu.be/sdt_BFla8uA" target="_blank">Video of lecture</a> <a href="https://www.youtube.com/watch?v=Xz0x-8-cgaQ" target="_blank">Video on Bootstrapping</a></li>
<p><li> Thursday: Summary of regression methods, cross-validation and discussion of project 1. Start Logistic Regression</li>
<ul>
<p><li> <a href="https://youtu.be/sdt_BFla8uA" target="_blank">Video of lecture</a></li>
<p><li> <a href="https://www.youtube.com/watch?v=Xz0x-8-cgaQ" target="_blank">Video on Bootstrapping</a></li>
</ul>
<p>
<p><li> Friday: Classification problems and Logistic Regression, from binary cases to several categories. Start optimization methods</li>
<ul>
<p><li> <a href="https://youtu.be/7OdqoLOphTA" target="_blank">Video of lecture</a></li>
</ul>
<p>
<p><li> Reading recommendations:
<ol type="a"></li>
<p><li> See lecture notes for week 37 on cross-validation and week 38 at <a href="https://compphysics.github.io/MachineLearning/doc/web/course.html." target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/web/course.html.</tt></a></li>
doc/pub/week38/html/week38-solarized.html
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@@ -269,8 +269,15 @@ MathJax.Hub.Config({
<ul>
<li> Lab Wednesday and Thursday: work on project 1</li>
<li> Thursday: Summary of regression methods, cross-validation and discussion of project 1. Start Logistic Regression <a href="https://youtu.be/sdt_BFla8uA" target="_blank">Video of lecture</a> <a href="https://www.youtube.com/watch?v=Xz0x-8-cgaQ" target="_blank">Video on Bootstrapping</a></li>
<li> Thursday: Summary of regression methods, cross-validation and discussion of project 1. Start Logistic Regression</li>
<ul>
<li> <a href="https://youtu.be/sdt_BFla8uA" target="_blank">Video of lecture</a></li>
<li> <a href="https://www.youtube.com/watch?v=Xz0x-8-cgaQ" target="_blank">Video on Bootstrapping</a></li>
</ul>
<li> Friday: Classification problems and Logistic Regression, from binary cases to several categories. Start optimization methods</li>
<ul>
<li> <a href="https://youtu.be/7OdqoLOphTA" target="_blank">Video of lecture</a></li>
</ul>
<li> Reading recommendations:
<ol type="a"></li>
<li> See lecture notes for week 37 on cross-validation and week 38 at <a href="https://compphysics.github.io/MachineLearning/doc/web/course.html." target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/web/course.html.</tt></a></li>
doc/pub/week38/html/week38.html
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@@ -346,8 +346,15 @@ MathJax.Hub.Config({
<ul>
<li> Lab Wednesday and Thursday: work on project 1</li>
<li> Thursday: Summary of regression methods, cross-validation and discussion of project 1. Start Logistic Regression <a href="https://youtu.be/sdt_BFla8uA" target="_blank">Video of lecture</a> <a href="https://www.youtube.com/watch?v=Xz0x-8-cgaQ" target="_blank">Video on Bootstrapping</a></li>
<li> Thursday: Summary of regression methods, cross-validation and discussion of project 1. Start Logistic Regression</li>
<ul>
<li> <a href="https://youtu.be/sdt_BFla8uA" target="_blank">Video of lecture</a></li>
<li> <a href="https://www.youtube.com/watch?v=Xz0x-8-cgaQ" target="_blank">Video on Bootstrapping</a></li>
</ul>
<li> Friday: Classification problems and Logistic Regression, from binary cases to several categories. Start optimization methods</li>
<ul>
<li> <a href="https://youtu.be/7OdqoLOphTA" target="_blank">Video of lecture</a></li>
</ul>
<li> Reading recommendations:
<ol type="a"></li>
<li> See lecture notes for week 37 on cross-validation and week 38 at <a href="https://compphysics.github.io/MachineLearning/doc/web/course.html." target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/web/course.html.</tt></a></li>
doc/pub/week38/ipynb/ipynb-week38-src.tar.gz
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doc/pub/week38/ipynb/week38.ipynb
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doc/src/week38/week38.do.txt
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@@ -11,9 +11,10 @@ DATE: September 22 and 23
* Lab Wednesday and Thursday: work on project 1
* Thursday: Summary of regression methods, cross-validation and discussion of project 1. Start Logistic Regression
"Video of lecture":"https://youtu.be/sdt_BFla8uA"
"Video on Bootstrapping":"https://www.youtube.com/watch?v=Xz0x-8-cgaQ"
* "Video of lecture":"https://youtu.be/sdt_BFla8uA"
* "Video on Bootstrapping":"https://www.youtube.com/watch?v=Xz0x-8-cgaQ"
* Friday: Classification problems and Logistic Regression, from binary cases to several categories. Start optimization methods
* "Video of lecture":"https://youtu.be/7OdqoLOphTA"
* Reading recommendations:
o See lecture notes for week 37 on cross-validation and week 38 at https://compphysics.github.io/MachineLearning/doc/web/course.html.