Logistic Regression, Stochastic Gradient, Regularization.
how each component from the loss, the sigmoid squashing, regularization, and finally SGD is designed to make it work. Before we start with the concepts discussed in this post, I’m assuming you are familiar with the equation of line (the linear regression equation), you know what the slope of a line