Once you start using ridge regression to make predictions or learn about relationships in the system you're modeling, you'll start thinking about the choice of alpha.
For example, using OLS regression might show some relationship between two variables; however, when regularized by some alpha, the relationship is no longer significant. This can be a matter of whether a decision needs to be taken.
This is the first recipe where we'll tune the parameters for a model. This is typically done by cross-validation. There will be recipes laying out a more general way to do this in later recipes, but here we'll walkthrough to be able to tune ridge regression.
If you remember, in ridge regression, the gamma ...