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HomeMIT 9.40 Introduction to Neural Computation, Spring 201817. Principal Components Analysis
17. Principal Components Analysis
1:21:19
Description: This video covers eigenvalues and eigenvectors, Gaussian distributions, computing covariance matrices, and principal components analysis (PCA).
Instructor: Michale Fee
