Machine Learning, AI, Artificial Intelligence, Deep Learning, Neural Networks.
work at all for non-square matrices. Singular value decomposition (SVD) tries to solve this problem by providing a decomposition with two orthogonal matrices (U and V) and one diagonal matrix (D), such that: The book does not go into many details about the uses of SVD (though there are many) except