AxLA101Linear Algebra
Open course · English · CC BY-SA 4.0

Linear AlgebraInteractive lecture notes and videos

Thirty lectures, from three pictures of a linear system to the singular value decomposition and computing with matrices, plus a few optional electives. Each lecture has notes where every number has been computed by running code, demos you can step through, and two captioned videos of about five minutes each (10–12 minutes per lecture). Most lectures connect the algebra to a machine-learning example, and every lecture ends with a self-check, exercises with hints and full solutions, and a section on working with AI: what to ask, and how to check the answer.

Inspired by Gilbert Strang's MIT 18.06 (MIT OpenCourseWare).

Lectures and electives go live one at a time. The order of topics follows MIT 18.06, with two extra lectures on computing with matrices; the quiz-review lectures are replaced by the self-check at the end of every lecture (review pages for whole units are planned).