Neural Networks, Gradient Descent.
descent only needs the first derivative and hence pretty fast. If we contrast with Netwons method of using the second derivative which is more precise, we can see that Gradient descent is more of an approximation. It heavily depends on an initial guess, a guessed step size and no local minima which