Ridge Regression is a linear model that addresses some problems of Ordinary Least Squares by imposing a
penalty (or regularization term) to the weights
Ridge regression uses a L2 regularization
Auto-optimization is generally faster than trying multiple values, but it does not support sparse features (like text hashing)