Foundations
SVD (Singular Value Decomposition)
Factorisation A = UΣVᵀ that exists for any matrix: a rotation, an axis-aligned scaling, then another rotation.
Why interviewers ask about it
PCA is the SVD of the mean-centred data matrix. Never form the covariance matrix explicitly - it squares the condition number.
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