AI, Dimensionality Reduction, Machine Learning, Python, Data Science.
decomposition are orthogonal, preserving the relationships between the rows and columns of the original matrix. 6. Applications in Recommender Systems SVD is widely used in collaborative filtering for recommender systems. Cons: 1. Computational Complexity: Computing the full SVD for large matrices