Neural Networks, Gradient Descent.
equation. This makes it computationally intensive. Note that the Netwons method is precise. However, due to it depending on the second derivative (curvature), it works only for specific types of functions — convex functions The gradient descent method is much simpler than Newton’s method. Gradient