Stochastic Blog
Linear models from least squares to quantiles
In the last few posts we built up the machinery of supervised learning from first principles, from nearest neighbors through decision trees and ensemble methods. Now we turn to the oldest and most enduring family in the toolbox: linear models. By the end of this post we will have fitted