2 docs tagged with "linear-algebra"

Work through eigenvalues and rectangular SVD, reconstruct a matrix, calculate low-rank error, and connect singular values to PCA, identifiability, and conditioning.

A foundation map for vectors, linear transformations, matrix factorization, and data-oriented applications.