Machine Learning, Data Science, Linear Algebra, Compression, Singular Values.
the most important results in all of linear algebra. At a very basic level, SVD allows us to understand what a matrix M does by decomposing it into two rotation matrices U and V*, and a scaling diagonal matrix S, such that M = USV*. The image below illustrates what happens when multiply M by some