This sequence bridges calculus-based optimization and modern machine learning, focusing on high-dimensional loss functions, stochastic methods, regularization through constraints, and the complex geometry of deep learning optimization. Graduate students will explore the mathematical foundations that enable large-scale model training.

Similar Sequences