Beskjeder

Dear all, welcome back to FYS-STK3155/4155. We hope you've had a great weekend. This week we plan to continue our discussion of linear regression, with an emphasis on its derivation and links to mathematical interpretations. We plan also to start our discussion of Ridge and Lasso regression. The plans are

 Brief repetition from last week

o Discussions  of the equations for ordinary least squares (OLS)

o Discussion on how to prepare data and examples of applications of linear regression

o Mathematical interpretations of OLS

o Introduction of Ridge and Lasso regression

Reading recommendations:

1. The weekly lecture notes

2. Goodfellow, Bengio and Courville, Deep Learning, chapter 2 on linear algebra 

3. Raschka et al on preprocessing of data, relevant...

If you are interested in finding team mates for projects and exercises, please fill in the form at https://docs.google.com/forms/d/1W57mA196ojFKxqW4-T6NsN0rx1BFUl-j8b4nQzrcG34/edit

First of all a warm welcome to you all.

Our first lecture is Monday August 18, 215pm-4pm.

The sessions on Tuesdays and Wednesdays last four hours for each group (four in total) and will include lectures in a flipped mode (promoting active learning) and work on exercises and projects. The sessions will begin with lectures and questions and answers about the material to be covered every week. There are four groups, Tuesdays 815am-12pm and 1215pm-4pm and Wednesdays 815am-12pm and 1215pm-4pm. Please sign up as soon as possible for one of the groups. Max capacity per group is 30-40 participants. Please select the group which fits you best.

The first week we start with simple linear regression, a repetition of linear algebra and elements of statistics needed for the course.

Note that there is no mandatory presence. All lectures can be accessed either in person or live via zoom at  https://uio.zoom.us/my/mortenhj

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