Math for machine learning

The math behind AI, one level at a time.

Learn linear algebra, calculus, and probability through animated lessons and quizzes designed for people who want to actually build models.

Everything the models actually use.

No abstract detours. Each track maps directly to a concept you'll meet when building AI systems.

Vectors, matrices, and the transformations at the heart of every neural network layer.

Derivatives, gradients, and the backpropagation that trains a model.

Distributions, Bayes, and reasoning under uncertainty.

Gradient descent, learning rates, and how loss surfaces get minimized.

Every concept comes as an interactive level. Earn XP, keep a streak, and unlock the next challenge.

Watch matrices rotate space and gradients roll downhill before you touch a single formula.

Check your understanding right away with quizzes that grade and explain each answer.

Progress is saved as you go. Build a daily streak and climb through the tracks.

TRY IT NOW

Drag the angle slider. This is the same rotation matrix that shows up inside models when they mix and reshape features.

Rotation angle: 45°

R(θ) =

cos θ = 0.71 -sin θ = -0.71 sin θ = 0.71 cos θ = 0.71

Start with Linear Algebra Level 1. No setup, no signup required to begin.