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17: Principal Components Analysis - Intro to Neural Computation

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MIT Introduction to Neural Computation, Spring 2018 Instructor: Michale Fee View the complete course: Covers eigenvalues and eigenvectors, Gaussian distributions, computing covariance matrices, and principal components analysis (PCA). License: Creative Commons BY-NC-SA More information at More courses at We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at

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