Svd, Machine Learning, Data Science, Artificial Intelligence, Matrix Factorization.
Eigenvalue Decomposition (EVD), and the Moore-Penrose pseudoinverse. The difference lies in their purpose and the type of matrices they can handle:  (SVD): SVD is a factorization of a matrix into three matrices, namely the left singular vectors, the singular values, and the right singular vectors.