Computational Thinking
Via The Rise of Machines
There is another interesting difference that is worth pondering. Consider the problem of estimating a mixture of Gaussians. In Statistics we think of this as a solved problem. You use, for example, maximum likelihood which is implemented by the EM algorithm. But the EM algorithm does not solve the problem. There is no guarantee that the EM algorithm will actually find the MLE; it’s a shot in the dark.