+Ridge Regression tames the wildness of [Multicollinearity](/wiki/multicollinearity), gently guiding regression coefficients away from extreme values. By adding a subtle penalty to the [Least Squares](/wiki/least_squares) objective, it fosters more stable and generalizable models, preventing overfitting in complex data landscapes.
+## See also
+- [Regularization](/wiki/regularization)
+- [Lasso Regression](/wiki/lasso_regression)
+- [Linear Regression](/wiki/linear_regression)
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