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added whiteboard notes

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Morten Hjorth-Jensen
2023-09-07 15:30:31 +02:00
parent d14a205300
commit e1dfee4ce4
7 changed files with 306 additions and 297 deletions
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doc/pub/week36/html/._week36-bs001.html
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<li> <a href="https://www.deeplearningbook.org/" target="_self">Recommended Reading: Goodfellow et al chapter 3 on probability theory</a></li>
<li> See also Murphy, sections 2.4 (Gaussian distributions) and 3.2 (Bayesian Statistics, basis)</li>
<li> <a href="https://youtu.be/Kc20CFK0z7Y" target="_self">Video of lecture</a></li>
<li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep7.pdf" target="_self">Whiteboard notes</a></li>
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doc/pub/week36/html/week36-reveal.html
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<p><li> See also Murphy, sections 2.4 (Gaussian distributions) and 3.2 (Bayesian Statistics, basis)</li>
<p><li> <a href="https://youtu.be/Kc20CFK0z7Y" target="_blank">Video of lecture</a></li>
<p><li> <a href="https://youtu.be/Kc20CFK0z7Y" target="_blank">Video of lecture</a></li>
<p><li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep7.pdf" target="_blank">Whiteboard notes</a></li>
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<p>
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doc/pub/week36/html/week36-solarized.html
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<li> <a href="https://www.deeplearningbook.org/" target="_blank">Recommended Reading: Goodfellow et al chapter 3 on probability theory</a></li>
<li> See also Murphy, sections 2.4 (Gaussian distributions) and 3.2 (Bayesian Statistics, basis)</li>
<li> <a href="https://youtu.be/Kc20CFK0z7Y" target="_blank">Video of lecture</a></li>
<li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep7.pdf" target="_blank">Whiteboard notes</a></li>
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doc/pub/week36/html/week36.html
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<li> <a href="https://www.deeplearningbook.org/" target="_blank">Recommended Reading: Goodfellow et al chapter 3 on probability theory</a></li>
<li> See also Murphy, sections 2.4 (Gaussian distributions) and 3.2 (Bayesian Statistics, basis)</li>
<li> <a href="https://youtu.be/Kc20CFK0z7Y" target="_blank">Video of lecture</a></li>
<li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep7.pdf" target="_blank">Whiteboard notes</a></li>
</ul>
</ul>
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doc/pub/week36/ipynb/ipynb-week36-src.tar.gz
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doc/src/week36/week36.do.txt
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@@ -16,6 +16,8 @@ DATE: September 4-8, 2023
* "Recommended Reading: Goodfellow et al chapter 3 on probability theory":"https://www.deeplearningbook.org/"
* See also Murphy, sections 2.4 (Gaussian distributions) and 3.2 (Bayesian Statistics, basis)
* "Video of lecture":"https://youtu.be/Kc20CFK0z7Y"
* "Whiteboard notes":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep7.pdf"
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===== Material for the active learning sessions Tuesday and Wednesday =====