## Numpy linalg.svd: Singular Value Decomposition in Python

In mathematics, a singular value decomposition (SVD) of a matrix refers to the factorization of a matrix into three separate matrices. It is a more generalized version of an eigenvalue decomposition of matrices. It is further related to the polar decompositions. In Python, it is easy to calculate the singular decomposition of a complex or …

Numpy linalg.svd: Singular Value Decomposition in Python Read More »