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Morten Hjorth-Jensen
2024-09-02 16:32:42 +02:00
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doc/src/week36/week36.do.txt
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@@ -11,8 +11,8 @@ DATE: September 2-6, 2024
* Linear Regression, ordinary least squares, Ridge and Lasso and links with Statistics
* Recommended Reading: Goodfellow et al chapter 3 (till 3.11) on probability theory, see URL:"https://www.deeplearningbook.org/"
* Raschka et al, chapter 4 pages 105-134 and chapter 6 pages 171-185. Chapter 4 and 6 contain many useful hints which will also be relevant for the various projects as well.
# * "Video of lecture":"https://youtu.be/Kc20CFK0z7Y"
# * "Whiteboard notes":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesSep7.pdf"
* "Video of lecture":"https://youtu.be/oHjqjUB36KE"
* "Whiteboard notes":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember2.pdf"
* Material for the active learning sessions on Tuesday and Wednesday
* Summary from last week on discussion of SVD, Ridge and Lasso linear regression.
* Raschka et al, chapter 4 pages 105-134 and chapter 6 pages 171-185. Chapter 4 and 6, as for the lecture discussion