Foundations of Artificial Intelligence (ME-390)
I was a teaching assistant for this course at EPFL.
About the course
The theoretical concepts behind machine learning, and a set of tools to apply it to problems from mechanical engineering.
Topics
Tools
- Supervised learning: regression and classification
- Unsupervised learning: singular value decomposition, K-means
- Deep learning: a short introduction to neural networks
- Reinforcement learning: a short introduction to policy-gradient methods
Theory
- Optimisation: the role of convexity, gradient descent, least squares
- Statistics: the Bayesian approach, the bias-variance trade-off