Mathematics of Machine Learning

Catalog description

An introduction to the essential mathematical content necessary to understand machine learning, its opportunities, and its challenges. Differentiation in higher dimensions, gradient descent method, optimization over convex and non-convex domains, neural networks, and computer implementation of machine learning algorithms to solve benchmark problems.