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Part 5: Singular Values and Singular Vectors
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Description
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
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Spring
2020
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