Mathematics for Artificial Intelligence

The mathematical backbone of machine learning, from vectors to optimization.

A cross-cutting track that gathers, in the order you actually need them, all the mathematics required to understand and build learning models: linear algebra, differential calculus, probability, statistics, optimization and information theory.

For Developers and self-taught learners aiming for machine learning who want solid mathematical foundations, from high school to graduate level.

20 courses