Machine Learning, AI, Artificial Intelligence, Deep Learning, Neural Networks.
matrix, taking it to a power simply involves taking each of its elements to that power, which is much faster than doing a lot of matrix multiplications. Finally we should note that for all symmetric matrices, the eigenvector matrix is orthogonal, which means that its transpose is its own inverse,