RES.18-010 | Spring 2020 | Undergraduate

A 2020 Vision of Linear Algebra


Part 5: Singular Values and Singular Vectors


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.

Slides Used in this Video: Slides 25 through 30

Instructor: Gilbert Strang

Course Info

As Taught In
Spring 2020
Learning Resource Types
Lecture Videos
Online Textbook