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Plans for week 36
- Material for the lecture on Monday September 2
- Technicalities related to scaling and other issues with data handling
- 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 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
- Whiteboard notes
- 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
- Presentation and discussion of first project
- Video of lab session