Singular Value Decomposition
Singular Value Decomposition is a mathematical technique used to decompose a matrix into the product of three separate matrices, typically representing the input matrix as a combination of singular vectors and singular values. This decomposition is commonly utilized in various fields such as signal processing, image compression, and machine learning to reduce dimensionality, extract important features, and solve linear systems of equations.