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
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