Matrix Factorization Techniques in Data Science
Matrix factorization is an important mathematical technique used in data science to represent large and complex datasets in a lower-dimensional form. The fundamental idea is to decompose a matrix into two or more matrices whose product approximates or reconstructs the original data matrix. Techniques such as Singular V...