Module 01a
Linear Algebra
Vectors, the matrices that move them, and what the eigenvalues of a matrix tell you about what it does. The same linear algebra whether it ends up inside a machine learning model, a state model of a circuit, or a numerical solver — which is why it is a course of its own rather than a chapter of one.
6 topics ~34 h estimated learning time
Sign in to keep your progress.
Ready to start
- 01a.1 Vectors, spaces and geometric intuition
Foundation · 6 h
- 01a.2 Matrices as linear maps
Foundation · 6 h
- 01a.3 Systems, rank, inverse, determinant
Foundation · 5 h
- 01a.4 Eigenvalues and eigenvectors
Core · 6 h
- 01a.5 SVD and low-rank approximation
Core · 6 h
- 01a.6 Norms, projections and least squares
Core · 5 h