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In the second lecture week we are going to finish the part on linear models (that we started on the first week) and then move on to model selection. In preparation for the lectures, I would ask you to read (or at least glance through) the relevant sections in the course book, which you find under syllabus in the schedule.
Also, due to the digitalisation lecture (see message below), we will exceptionally start our Tuesday lecture at 10:30, so everyone interested may attend the digitalisation lecture without missing the beginning of our lecture.
The Norwegian Centre for Knowledge-driven Machine Learning Integreat invites you to this year’s Integreat Digitalisation Lecture – an annual tradition where the Minister of Digitalisation and Public Governance presents the state of digitalisation in Norway.
Integreat Digitalisation Lecture 2025: Karianne Tung
Wednesday 3 September 2025, 09:30–10:30
Helga Eng Building, Auditorium 1, Blindern, University of Oslo
UiO Rector Ragnhild Hennum opens the lecture.
Minister Karianne Tung delivers the keynote speech.
Professor Ingrid Glad moderates the panel discussion with the Minister and Integreat researchers.
The event is open to all and requires no registration. Language: Norwegian. Streaming.
More information: Integreat Digitalisation Lecture 2025
Following the first two lectures, you will now have one week to work on the problems in exercise sets 1-2 before the exercise classes next week where you will have a look at some solutions. As I mentioned in class, many of the pen-and-paper problems are quite challenging, so don't be too discouraged if you are not able to fully solve a problem. Already understanding and thinking about the problem is very useful, and then also understanding the solution. Also, due to slow progress by the lecturer, we did not yet cover the lasso, which is part of ex 3.16, so you can consider that as an extra star problem.
Welcome to the 2025 edition of Statistical Learning Methods in Data Science! In this course you will learn about the inner workings of several modern statistical (machine) learning methods, and how to apply these in practice. The course will be based on the book The Elements of Statistical Learning. Starting Aug 20, the plan is to have two lectures every other week and exercise classes every other week. There will be two mandatory assignments that you need to pass to be allowed to taken the final exam, which will be a written exam (pen-and-paper). More info about the course will be given during the first lecture, and feel free to send me (Johan) an email if you have any questions about the course.