Logistic Regression, Stochastic Gradient, Regularization.
vector and the bias to minimize L. This is the optimization problem we are trying to solve for. Before we dive into other concepts lets take a look at why Log loss works and is the proper optimization problem for the classification problem provided above. We know that 0 ≤ σ(zi) ≤ 1. Thus the goal