Understanding Singular Value Decomposition and its Application in Data Science
Learn about the intuition behind Singular Value Decomposition
Published in
53 min readJan 9, 2020
In linear algebra, the Singular Value Decomposition (SVD) of a matrix is a factorization of that matrix into three matrices. It has some interesting algebraic properties and conveys important geometrical and theoretical insights…