Machine Learning, Linear Algebra.
we can’t represent our data with a real symmetric matrix? This is where SVD comes in handy! 2. Singular Value Decomposition (SVD) What is SVD? The singular value decomposition is a factorization of a non-square m x n matrix A into the following matrices U, S and V: U and V are two orthogonal