Learning Theory

ML Math Derivations (1): Introduction and Mathematical Foundations

Why can machines learn from data at all? This first chapter builds the mathematical theory of learning from first principles -- problem formalization, loss surrogates, PAC learning, VC dimension, the bias-variance …