Linear Regression, Ridge Regression, Penalty, Loss, Cost Function.
to minimize the sum of squared coefficients, where the coefficients represent the weights assigned to each predictor variable. The Ridge Regression objective function can be expressed as: minimize: ||y — Xw||² + alpha * ||w||² where: Y is the vector of response variable values. X is the matrix of