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The final syllabus is now updated, see the course web-page.

For the exam, there will, as in earlier years, no permitted aids. 

The best preparation for the exam is to go through earlier exams and the exercises given throughout the course.

Note that the following exams are a bit outside what we have discussed this year:

Exam 2022: Problems 1, 2b, 3a, 4

Exam 2019: Problems 2b,c, 3b

The exercise session Tuesday Nov 19 is cancelled. We will go through some problems from exam 2021 and 2022 on Wednesday Nov 20.

Geir

The second assignment is now available on the course web page.

The first assignment is now published, see the course web-page.

Welcome to this course in Statistical Learning Methods in Data Science!

The main textbook will be The Elements of Statistical Learning by Hastie, Tibshirani and Friedman

A plan for the first weeks is given under the schedule tag. This page will be updated during the course and will contain links to the presentations that will be used.

Usually, we will have exercises on Tuesdays and lectures on Wednesdays, but for the first week, there will be two sets of lectures, while in the second week, we will use both days for exercises. 

There will be no video recording of the lectures.