Linear Algebra, Python, Matrix Factorization, Numpy.
singular values (largest ones) — by multiplying U[:, 0:60] times sigma[0:60, 0:60] times V[0:60] — we get this image. Not bad. The resulting matrix is the same size as the original. If see the decomposition as a sum of 200 matrices, we can think of this as taking the most important parts in this