Data Science, Machine Learning, Linear Algebra, Scipy, Algorithms.
Simply stated, singular value decomposition provides a way to break a matrix into simpler, meaningful pieces. These pieces may contain some data we are interested in. Find an example here. Note that for sparse matrices, you can use the sparse.linalg.svds() function to perform the decomposition. If