Plans for week 36, September 2-6

Dear all,  here are the plans for the coming week:

• Material for the lecture on Monday September 2
•      Linear Regression, Ridge and Lasso regression and links with Statistics, Resampling methods, see the weekly lecture slides at for example (jupyter-notebook) https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week36/ipynb/week36.ipynb
•      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 be relevant for the various projects as well.

• Material for the active learning sessions on Tuesday and Wednesday
•      Summary from last week on discussion of SVD, Ridge and Lasso linear regression, first 30-40 mins of each session
•      Presentation and discussion of first project and exercises for week 36

The first project is available in the evening of September 2, Monday. A message will be sent out to all as soon as it is available this coming Monday.

The exercises and the weekly material can be found at the usual jupyter-book link https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/intro.html

Best wishes to you all,

Fahimeh, Ida, Mai, Karl Henrik, Morten, Odin and Sigurd