AI, Dimensionality Reduction, Machine Learning, Python, Data Science.
applications, including linear algebra, signal processing, and machine learning. It decomposes a matrix into three other matrices, allowing for the representation of the original matrix in a reduced form. The decomposition techniques and proofs are explained here. Steps in SVD: 1. Decomposition of