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Due to an intensive course, that uses our room, there is no teaching next week, and therefore no weekly exercises either. I encourage you yo use the time to catch up with the material covered so far (Ch. 2, first half og Ch. 3 and ch. 7), as well as the weekly exercises given so far.

The link to the book ISLR, from which some of the weekly exercises are taken, has now been substituted with a link that gives access both to the book itself, but also R files and data sets that you might need. These are found under "Resources".

The teaching will each week consist of 4 hours of lectures (Tuesdays and Wednesdays), as well as 2 hours of exercise classes on Mondays, where you can get help solving the weekly exercises. Note that there are no exercises in week 4, and hence, no exercise classes on Monday January 20th.

On the semester page, plans for the lectures will be published in the schedule, and the weekly exercises will be published on "Weekly exercises' under 'Exercises'.

We will use the text book: Hastie et al (2009): Elements of Statistical learning. The book James et al (2013): An introduction to Statistical learning - with applications in R can be used as supplementary material. The latter is an easier version of the former, with less mathematical details. Both books are available online. Further, the course will be a mix of statistical/mathematical theory and applied work on the computer. We will use R extensively....