**Lecture notes:**


[[https://github.com/stefaniemuff/statlearning/blob/master/1Intro/1Intro.pdf | 1Intro.pdf]] \\
[[https://htmlpreview.github.io/?https://github.com/stefaniemuff/statlearning/blob/master/1Intro/1Intro.html | 1Intro.html]] \\
[[https://github.com/stefaniemuff/statlearning/blob/master/1Intro/1Intro.Rmd | 1Intro.Rmd]] (this is just the Rmd version of the lecture notes; useful if you want to check what I did to generate the code and R output).\\

[[https://github.com/stefaniemuff/statlearning/blob/master/1Intro/1Intro_annotated.pdf  | Annotated slides]]

[[https://ntnu.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=acf183e2-e458-4a06-9d74-ae1900f700ec | Recorded Lecture 10.1.2022]]


**The online videos:**

[[https://www.youtube.com/watch?v=5N9V07EIfIg | Online lecture by Hastie and Tibshirani, Chapter 1, part 1]] \\
[[https://www.youtube.com/watch?v=Z0v9QMkA3dA | Online lecture by Hastie and Tibshirani, Chapter 1, part 2]]


**R introduction**

  *  Work through parts 1 - 6 in the MOOC [[https://digit.ntnu.no/courses/course-v1:NTNU+IMF001+2020/course/ | R course]]. 
  *  You should be able to log in using your Feide account.

**Supervision**

There is no specific student supervision planned this week. Please use the discussion forum in the R course if anything is unclear.