Machine Learning, Linear Algebra, Mathematics, Eigenvectors, Matrix.
to its own when transposed. Let’s take a quick example to make sure you understand the concept. So the question is, why are we revisiting this basic concept now? The thing is, if the matrix is symmetric, it has a very useful property when we perform eigendecomposition. Before showing how it is