Data Science, Machine Learning, Linear Algebra, Scipy, Algorithms.
Value Decomposition (SVD) Next, you need to know about SVD if you want to really learn data science. The singular value decomposition of a matrix A is the decomposition or facorization of A into the product of three matrices: A = U * \Sigma * V^t. The size of the individual matrices is as follows