Courses

Two courses on artificial intelligence, built from the ground up. Read them on their own or together: the build course links into the mathematics wherever a model needs it.

MathematicsMath for AI

The mathematics behind machine learning, from precise definitions up: sets, linear algebra, calculus, probability and statistics. Every idea comes with non-examples, context and why it matters in AI.

3 units · sets, vector spaces, spanStart the course →BuildAI from zero to hero

Every model from linear regression to a small GPT, written from scratch in Python and NumPy against tests, with its failure modes and how it behaves in production.

Week 0 · a gradient checkerStart the course →

Both courses read in two depths, Dense and Full. See how to read this site.