Introduction to Supervised Learning and Decision Theory

This lecture introduces the concepts of supervised learning and decision theory, focusing on key elements such as loss function, risk, target function, and excess risk. It covers the formalization of supervised learning, decision theoretic framework, generalization, expected behavior, and the goal of minimizing risk.