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above is the covariance matrix. This takes us to the final stage of solving PCA. PCA via truncated Singular Value Decomposition (SVD). Singular value decomposition (SVD) is known as a Swiss Army Knife of Linear Algebra Intuition: And what we want, is to solve the eigen problem that came up in