Machine Learning, Deep Learning, Neural Networks, Programming, Linear Algebra.
called x1, x2 and so on. We can concatenate all of the eigenvectors into a matrix X. All of the eigenvalues can be formed into a vector and we can compute the eigendecomposition of M by: The decomposition reveals useful facts about the matrix; for example, if any of the eigenvalues are zero, then