Svd, Dropout Regularization, Portfolio Management.
hand side, we see the corresponding decomposition to eigenvectors. Figure 1: Symmetric Matrices project vectors along the basis of their (orthogonal) eigenvector space proportional to their eigenvalues [1]. We can arrive at a similar formulation for non-square matrices with a small tweak. Note that