Using Singular Value Decomposition (SVD) for Dimensionality Reduction and Latent Features
Introduction Singular Value Decomposition (SVD) is a powerful technique used widely in fields like machine learning, data analysis, and natural language processing. It enables the simplification of complex data structures, reduces computational overhead, and helps…
