Foundations of artificial intelligence ME-390

Résumé

This course provides the students with 1) a set of theoretical concepts to understand the machine learning approach; and 2) a subset of the tools to use this approach for problems arising in mechanical engineering applications.

Contenu

Tools: Supervised learning: regression and classification

Unsupervised learning: singular value decomposition, K-means

Deep learning: brief introduction to neural networks

Reinforcement learning: brief introduction to policy gradient method

Theory Optimization: role of convexity, gradient descent, least-squares

Statistics: Bayesian approach, bias and variance trade-off

Source : EPFL