Mathematics for Machine Learning and Data Science

Get the math ML actually runs on

From DeepLearning.AI, this intermediate Specialization is one of the most widely taken math-for-ML programs available, with 136,495 students enrolled.

What you'll master

• Linear algebra as it's used inside machine learning models
• Dimensionality reduction and data manipulation techniques
• Applied mathematics and algebra implemented in Python

It's built for learners who can already write some code and want the mathematical intuition behind the ML techniques they're using — not a pure math course, and not a black-box ML course either. If terms like "eigenvectors" or "dimensionality reduction" show up in your ML work and you nod along without really understanding them, this closes that gap directly.