Foundations

Learn linear algebra for machine learning

Linear algebra studies vectors, matrices, and transformations. Embeddings, attention, and neural network layers are those operations applied to data.

For learners who want the geometry behind machine learning, with a visual series and a textbook chapter.

Start here

Watch the vectors lesson, then pause and compute one dot product by hand before you continue the series.

The visual series for vectors, span, and matrix multiplication.

The first episode. Finish this before treating an embedding as a list of unexplained numbers.

Exercises for the operations the videos make intuitive.

The chapter written for machine learning, once the pictures are familiar.