Svd, Machine Learning, Data Science, Artificial Intelligence, Matrix Factorization.
There are a few variants of SVD which are important to know about: Truncated SVD Truncated SVD is a variation of SVD that involves keeping only the top k singular values and corresponding singular vectors. This reduces the computational cost of SVD while retaining the most important information of