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Algebra / Linear algebra / Mathematics / Matrix theory / Singular value decomposition / Numerical linear algebra / Dimension reduction / Principal component analysis / Eigenvalues and eigenvectors / Matrix / Orthogonal matrix / Rank
Date: 2015-05-11 19:23:32
Algebra
Linear algebra
Mathematics
Matrix theory
Singular value decomposition
Numerical linear algebra
Dimension reduction
Principal component analysis
Eigenvalues and eigenvectors
Matrix
Orthogonal matrix
Rank

CS168: The Modern Algorithmic Toolbox Lecture #9: The Singular Value Decomposition (SVD) and Low-Rank Matrix Approximations Tim Roughgarden & Gregory Valiant April 27, 2015

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