In this third and last post of this series, we present the use of a very effective and powerful library to build logistic regression models (among others) in practice: Vowpal Wabbit.

Want to know how to implement Stochastic Gradient Descent for Logistic regression able to learn millions of parameters using the hashing trick and per-coordinate adaptive learning rate with a tiny memory footprint? This post is for you.

Learn the fundamental theory behind logistic regression.