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Morten Hjorth-Jensen
2025-09-01 16:31:40 +02:00
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commit b62dc358d7
8 changed files with 386 additions and 425 deletions
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doc/HandWrittenNotes/2025/FYSSTKweek36.pdf
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<b>Material for the lecture on Monday September 1:</b>
<ol>
<li> Linear Regression, ordinary least squares (OLS), Ridge and Lasso and mathematical analysis</li>
<li> Derivation of Gradient descent and discussion of implementations for
<!-- * <a href="https://youtu.be/oHjqjUB36KE" target="_self">Video of lecture</a> -->
<!-- * <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember2.pdf" target="_self">Whiteboard notes</a> --></li>
<li> Derivation of Gradient descent and discussion of implementations for</li>
<li> Video of lecture at <a href="https://youtu.be/nVE_FRnGAHw" target="_self"><tt>https://youtu.be/nVE_FRnGAHw</tt></a></li>
<li> Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2025/FYSSTKweek36.pdf" target="_self"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2025/FYSSTKweek36.pdf</tt></a></li>
</ol>
<b>Material for the lab sessions on Tuesday and Wednesday (see at the end of these slides):</b>
<ol>
doc/pub/week36/html/week36-reveal.html
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<b>Material for the lecture on Monday September 1:</b>
<ol>
<p><li> Linear Regression, ordinary least squares (OLS), Ridge and Lasso and mathematical analysis</li>
<p><li> Derivation of Gradient descent and discussion of implementations for
<!-- * <a href="https://youtu.be/oHjqjUB36KE" target="_blank">Video of lecture</a> -->
<!-- * <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember2.pdf" target="_blank">Whiteboard notes</a> --></li>
<p><li> Derivation of Gradient descent and discussion of implementations for</li>
<p><li> Video of lecture at <a href="https://youtu.be/nVE_FRnGAHw" target="_blank"><tt>https://youtu.be/nVE_FRnGAHw</tt></a></li>
<p><li> Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2025/FYSSTKweek36.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2025/FYSSTKweek36.pdf</tt></a></li>
</ol>
<p>
<b>Material for the lab sessions on Tuesday and Wednesday (see at the end of these slides):</b>
doc/pub/week36/html/week36-solarized.html
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<b>Material for the lecture on Monday September 1:</b>
<ol>
<li> Linear Regression, ordinary least squares (OLS), Ridge and Lasso and mathematical analysis</li>
<li> Derivation of Gradient descent and discussion of implementations for
<!-- * <a href="https://youtu.be/oHjqjUB36KE" target="_blank">Video of lecture</a> -->
<!-- * <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember2.pdf" target="_blank">Whiteboard notes</a> --></li>
<li> Derivation of Gradient descent and discussion of implementations for</li>
<li> Video of lecture at <a href="https://youtu.be/nVE_FRnGAHw" target="_blank"><tt>https://youtu.be/nVE_FRnGAHw</tt></a></li>
<li> Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2025/FYSSTKweek36.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2025/FYSSTKweek36.pdf</tt></a></li>
</ol>
<b>Material for the lab sessions on Tuesday and Wednesday (see at the end of these slides):</b>
<ol>
doc/pub/week36/html/week36.html
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@@ -368,9 +368,9 @@ MathJax.Hub.Config({
<b>Material for the lecture on Monday September 1:</b>
<ol>
<li> Linear Regression, ordinary least squares (OLS), Ridge and Lasso and mathematical analysis</li>
<li> Derivation of Gradient descent and discussion of implementations for
<!-- * <a href="https://youtu.be/oHjqjUB36KE" target="_blank">Video of lecture</a> -->
<!-- * <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember2.pdf" target="_blank">Whiteboard notes</a> --></li>
<li> Derivation of Gradient descent and discussion of implementations for</li>
<li> Video of lecture at <a href="https://youtu.be/nVE_FRnGAHw" target="_blank"><tt>https://youtu.be/nVE_FRnGAHw</tt></a></li>
<li> Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2025/FYSSTKweek36.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2025/FYSSTKweek36.pdf</tt></a></li>
</ol>
<b>Material for the lab sessions on Tuesday and Wednesday (see at the end of these slides):</b>
<ol>
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@@ -9,8 +9,8 @@ DATE: September 1-5, 2025
_Material for the lecture on Monday September 1:_
o Linear Regression, ordinary least squares (OLS), Ridge and Lasso and mathematical analysis
o Derivation of Gradient descent and discussion of implementations for
# * "Video of lecture":"https://youtu.be/oHjqjUB36KE"
# * "Whiteboard notes":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember2.pdf"
o Video of lecture at URL:"https://youtu.be/nVE_FRnGAHw"
o Whiteboard notes at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2025/FYSSTKweek36.pdf"
_Material for the lab sessions on Tuesday and Wednesday (see at the end of these slides):_
o Technicalities concerning Ridge and Lasso linear regression.
o Presentation and discussion of the first project