Cost Function, Gradient Descent.
this is given the implement X and parameters by theta. But think of this as just my hypothesis is estimating the probability that Y is equal to 1. So all that remains to be done is figure out how to actually minimize J of theta as a function of theta so we can actually fit the parameters to our