Applied Machine Learning - Week 6

Monday 26th of May (afternoon):
Lectures: AutoEncoders at work: Detecting anomalies with AutoEncoders and Measuring beer quality with ML (Carl Johnsen).

Exercise: Work on final project.

Wednesday 28th 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 28th of May (afternoon):
Lectures: A look at Domain shifts and Adversarial training and Hybrid training (TP).
Exam format and project presentation schedule, and example exam presentation (TBC).

Exercise: Work on final project work.

Last updated: 24th of May 2025 by Troels Petersen.