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Visual Explanation of Principal Component Analysis, Covariance, SVD

Em Freedman 96,379 lượt xem 6 years ago
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Linearity I, Olin College of Engineering, Spring 2018
I will touch on eigenvalues, eigenvectors, covariance, variance, covariance matrices, principal component analysis process and interpretation, and singular value decomposition.

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