Cost Function, Non Convex Optimization, Logistic Regression, Log Loss Function.
global minimum. Whereas in contrast, what we would like is to have a cost function J of theta that is convex, that is a single bow-shaped function that looks like this, so that if you run gradient descent, we would be guaranteed that gradient descent, you know, would converge to the global minimum.