logistic regression prediction \[ \hat{y} = \sigma(wx+b); \textnormal{~$\sigma$ is activation function (usually sigmoid)} \] loss/cost function \[ LogLoss(w, b) = \sum_y{-y\log{\hat{y}}- (1 - y) \log{(1 - \hat{y})}} \] regularization resources ml specitalization google developers