This repository contains lecture materials and exercises for an EPFL course on optimization for machine learning. The course covers modern optimization algorithms including gradient methods, stochastic optimization, accelerated methods, and second-order methods. Advanced topics include distributed optimization, federated learning, and non-convex optimization for training neural networks.