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6:40
YouTube
Em Freedman
Visual Explanation of Principal Component Analysis, Covariance, SVD
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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