Svd, Machine Learning, Data Science, Artificial Intelligence, Matrix Factorization.
values and corresponding singular vectors. This reduces the size of the data while retaining most of its important information. Image Processing: SVD is used in image processing for tasks such as image compression, denoising, and image restoration. By removing the low-rank components of the matrix