FOUNDATIONS

Math for ML

Develop a solid foundation in the mathematical concepts essential for understanding and building machine learning algorithms.

~45 hours

Learning Objectives

Linear AlgebraCalculus for MLProbability DistributionsHypothesis Testing

Implement matrix multiplication and gradient descent from scratch using base Python.

📖 Learn by Reading

Mathematics for Machine Learning

Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong

A rigorous but accessible text that bridges the gap between mathematical foundations and machine learning algorithms.

🎥 Learn by Watching

Mathematics for Machine Learning - Linear Algebra

Imperial College London • Coursera • 18:00:00

Builds a strong mathematical foundation in linear algebra crucial for understanding machine learning algorithms.