Cost Function, Non Convex Optimization, Logistic Regression, Log Loss Function.
and return here, let’s write here, cost of H of X comma Y, and I’m going to define that term cost of H of X comma Y to be equal to this. It’s just equal to just one half of the square root error. So now, we can see more clearly that the cost function is a sum over my training set, or is 1/m times