Machine Learning, Deep Learning, Neural Networks, Programming, Linear Algebra.
the matrix is singular — which means that the matrix is not invertible and therefore doesn’t have a matrix inverse. Once we have our eigenvectors for our square matrix, we can calculate the determinant, which describes how much a transformation expands or contracts a space. If the determinant is