Applied Machine Learning - Week 6

Monday 25th of May (afternoon):
Lectures: The will be NO classes Monday as it is a national holiday (Whit Monday).
     Bonus (self) study (by video): Computer infrastructure (11 min), Networks (12 min), Scaling (18 min), and Speed (23 min) (by Brian Vinter).

Exercise: Work on final project.

Wednesday 29th of May (morning):
Lectures: Diffusion Models, Reinforcement Learning, and discussion of ML cases and ideas in industry (TP).
     Note: Check out this great introduction to Diffusion Models with interactive illustrations.

Exercise: Work on final project.

Wednesday 29th of May (afternoon):
Lectures: A look at Domain shifts and Adversarial training, which is essential when having multiple sources of data.
     Discussoin of Exam format and project presentation schedule (upload Tuesday evening!).

Exercise: Work on final project work.

Last updated: 22nd of May 2026 by Troels Petersen.