Linear Regression, Ridge Regression, Penalty, Loss, Cost Function.
Photo by Urban Ulrych Ridge Regression is a linear regression technique that incorporates a regularization term, known as the L2 penalty, into the ordinary least squares objective function. It addresses the issues of multicollinearity and overfitting by adding a small amount of bias to the model,