SVD (Singular Value Decomposition) is one of my favorite topics in linear algebra. It's almost magical to factorize any matrix into a product of two orthogonal matrices and a diagonal matrix.
Derivation
In simple words, any matrix 'A' can be decomposed into a product of 3