Svd, Dropout Regularization, Portfolio Management.
article we describe its applications in Deep Learning and Portfolio Management after a brief and intuitive introduction to its inner workings. Introduction to SVD Any (m by n) matrix can be thought of as a linear transformation that maps points from the n-D space to a unique point in the m-D space.