Machine Learning, Optimization, Random Walk, Data Science, Gradient Descent.
(potentially global) minima. The main benefit however, is the speed up in convergence between the models. It has been shown that the random walk method results in a speed up of order sqrt(d) where d is the dimension of the cost function. For machine learning datasets this d can often be above 1000