Part 5: Singular Values and Singular Vectors

MIT A 2020 Vision of Linear Algebra, Spring 2020 Instructor: Gilbert Strang View the complete course: YouTube Playlist: Data matrices in machine learning are not square, so they require a step beyond eigenvalues: The Singular Value Decomposition (SVD) expresses every matrix by its singular values and vectors. License: Creative Commons BY-NC-SA More information at More courses