Svd, Machine Learning, Data Science, Artificial Intelligence, Matrix Factorization.
(i.e., the small singular values and corresponding singular vectors), we can remove the noise from the data. Recommender Systems: In recommender systems, SVD is used to factorize the user-item interaction matrix into two low-rank matrices, which can then be used to make recommendations to users.