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@@ -328,8 +328,8 @@ MathJax.Hub.Config({
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<!-- subsequent paragraphs come in larger fonts, so start with a paragraph -->
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<ul>
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<li> Logistic regression as our first encounter of classification methods. From binary cases to several categories.</li>
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<li> Start gradient and optimization methods
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<!-- * <a href="https://youtu.be/cJrSwRsVSGM" target="_self">Video of lecture</a> -->
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<li> Start gradient and optimization methods</li>
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<li> <a href="https://youtu.be/c9DIfNHy2ks" target="_self">Video of lecture</a>
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<!-- * Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep21.pdf" target="_self"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep21.pdf</tt></a> --></li>
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</ul>
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@@ -204,8 +204,9 @@ MathJax.Hub.Config({
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<p><li> Logistic regression as our first encounter of classification methods. From binary cases to several categories.</li>
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<p><li> Start gradient and optimization methods
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<!-- * <a href="https://youtu.be/cJrSwRsVSGM" target="_blank">Video of lecture</a> -->
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<p><li> Start gradient and optimization methods</li>
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<p><li> <a href="https://youtu.be/c9DIfNHy2ks" target="_blank">Video of lecture</a>
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<!-- * Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep21.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep21.pdf</tt></a> --></li>
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</ul>
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</div>
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@@ -288,8 +288,8 @@ MathJax.Hub.Config({
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<p>
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<ul>
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<li> Logistic regression as our first encounter of classification methods. From binary cases to several categories.</li>
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<li> Start gradient and optimization methods
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<!-- * <a href="https://youtu.be/cJrSwRsVSGM" target="_blank">Video of lecture</a> -->
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<li> Start gradient and optimization methods</li>
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<li> <a href="https://youtu.be/c9DIfNHy2ks" target="_blank">Video of lecture</a>
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<!-- * Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep21.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep21.pdf</tt></a> --></li>
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</ul>
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</div>
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@@ -365,8 +365,8 @@ MathJax.Hub.Config({
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<p>
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<ul>
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<li> Logistic regression as our first encounter of classification methods. From binary cases to several categories.</li>
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<li> Start gradient and optimization methods
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<!-- * <a href="https://youtu.be/cJrSwRsVSGM" target="_blank">Video of lecture</a> -->
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<li> Start gradient and optimization methods</li>
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<li> <a href="https://youtu.be/c9DIfNHy2ks" target="_blank">Video of lecture</a>
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<!-- * Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep21.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep21.pdf</tt></a> --></li>
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</ul>
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</div>
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@@ -11,7 +11,7 @@ DATE: September 16-20, 2024
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!bblock Material for the lecture on Monday September 16
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* Logistic regression as our first encounter of classification methods. From binary cases to several categories.
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* Start gradient and optimization methods
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# * "Video of lecture":"https://youtu.be/cJrSwRsVSGM"
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* "Video of lecture":"https://youtu.be/c9DIfNHy2ks"
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# * Whiteboard notes at URL:"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep21.pdf"
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!eblock
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