Machine Learning, Optimization, Random Walk, Data Science, Gradient Descent.
direction of motion that ties gradient descent in with random walks. It is also this random direction that saves us from walking into the nearest minima. As we only require each step to be vaguely downhill some of our random walking will take us past local minima and hopefully into deeper