Orthogonalization (least squares, linear regression, compensating for inaccurate measurements by using more measurements, applying least-squares to the machine-learning problem), The SVD (multiplying a vector by a rank-one or low-rank matrix, Frobenius norm), Nov. 14, 2014

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Channel: Coding the Matrix, Fall 2014
Owner: Philip Klein
Group: cs053ta
Published: Nov. 14, 2014, 2:51 p.m.
Duration: 0:44:12

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Orthogonalization (least squares, linear regression, compensating for inaccurate measurements by using more measurements, applying least-squares to the machine-learning problem), The SVD (multiplying a vector by a rank-one or low-rank matrix, Frobenius norm), Nov. 14, 2014