L2 Regularization (Ridge regression): The penalty is the square of the magnitude of the coefficients. This tends to spread coefficient values out more evenly, and unlike L1 regularization, it ...

This requires basic machine learning literacy — what kinds of problems can machine learning solve, and how to talk about those problems with data scientists. Linear regression and feature ...

Kernel ridge regression is a relatively common machine learning technique so it's sometimes called just kernel regression. However, there is an old, relatively rare, simpler, related technique called ...

Linear ridge regression (LRR) is a relatively simple variation of standard linear regression. However, LRR and standard linear regression are usually considered distinct techniques, in part because ...