Svd, Machine Learning, Data Science, Artificial Intelligence, Matrix Factorization.
of matrices. This involves retaining only the top k singular values and corresponding singular vectors, where k is much smaller than the dimensions of the original matrix, it is possible to obtain a rank-k approximation of the matrix that captures most of its essential structure. This reduces the