Machine Learning, Gradient Descent, Hessian Matrix, Optimization, Artificial Intelligence.
understanding of these concepts as much as possible. If it helps you in any way my efforts would be worth it. Key Highlights Gradient descent isn’t always smooth: The path to minimizing machine learning errors can be riddled with sudden changes, plateaus, and tricky saddle points. Hessian matrix