Svd, Machine Learning, Data Science, Artificial Intelligence, Matrix Factorization.
(SVD) is a factorization of a matrix into three matrices: U, S, and V. It can be written as:  where A is the original matrix, U and V are orthogonal matrices, and S is a diagonal matrix. The elements of S are called the singular values of the matrix A. U Matrix: The U matrix contains the left