Lecture 3 (13/03/2025, 2h): Introduction to Supervised, Unsupervised & Reinforcement Learning

Introduction to Supervised, Unsupervised & Reinforcement Learning. The Supervised Learning framework. From real to computational: features extraction and features vectors. Feature Engineering and inferred features. PyTorch. Introduction to Colab notebooks and first part of the PyTorch hands-on.