Applied Machine Learning - Week 6

Monday 27th of May (afternoon):
Lectures: Generative Adversarial Networks (GANs), Diffusion Models, and Reinforcement Learning (TP).
     Note: Possibly check out this great introduction to Diffusion Models with interactive illustrations.

Exercise: Work on final project.

Wednesday 29th of May (morning):
Lectures: A discussion of ethics in Machine Learning (TP+DM).
     ML at work: Energy Regression with a CNN (TP).

Exercise: Work on final project.

Wednesday 29th of May (afternoon):
Lectures: Example presenation of project from last year's course/exam (TBC).
     and a quick example of text analysis with ML.

Exercise: Work on final project work.

Last updated: 25th of May 2024 by Troels Petersen.