Machine Learning, Gradient Descent, Hessian Matrix, Optimization, Artificial Intelligence.
(positive eigenvalue) or downhill (negative eigenvalue). The scalar by which an eigenvector is multiplied is called the eigenvalue. It represents how much the matrix stretches or shrinks the eigenvector. Quick aside: Visualizing Curvature Concave Functions: Think of a simple function like f(x) =