Regularization Part 1: Ridge (L2) Regression
StatQuest with Josh Starmer · 20:26
Ridge regression (L2 regularization) deliberately makes a model fit the training data *worse* — adding a penalty term lambda × (sum of squared parameters) to the least-squares objective — in order to shrink parameter...