Weekly update fys-stk3155/4155 and plans for week 36

Dear all, we hope this week has started the best possible way for you all.

Here's a short overview of the plans for this week with a recap from last week. 

Last week we discussed ordinary least squares (OLS), Ridge and Lasso regression in terms of various linear algebra features, in particular w emphasized the role of the singular value decomposition and how we could interpret the regularization terms in Ridge and lasso regression. This material is available from the weekly slides of week 35, see the general overview of the weekly material at https://compphysics.github.io/MachineLearning/doc/web/course.html. At the end of the slides you will also find the exercises for this week. These exercises are meant as stepping stones towards project 1. The latter will be presented on Friday this week.

This week we plan to wrap up our linear algebra discussion of the regression methods (with some simple examples) and move on to a statistical interpretation of linear regression. We will derive the same equations but starting with a probability distribution. This will hopefully allows us to get a deeper insight about the various linear regression methods. 

The material is available at the weekly slides link, https://compphysics.github.io/MachineLearning/doc/web/course.html and click on any of the links for week 36. 

On Friday we will start our discussion of resampling methods (and why). This will lead us also into next week's discussion of the bias-variance tradeoff. We will also discuss project 1 on Friday. 

Else, we remind you that the zoom link for the digital labs is the same throughout the semester, namely 

https://msu.zoom.us/j/95317649875?pwd=aWM1akppam4yWVBIY29KaXE5cHpSZz09

Meeting ID: 953 1764 9875
Passcode: 536396

You will also receive a mail later today with suggestions for groups, based on your inputs.

Best wishes to you all.