Mathematical Optimisation: Ridge Regression with L_2 Regularisation
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Mathematical Optimisation: Ridge Regression with L_2 Regularisation
# The uploaded infographic outlines Ridge Regression, an extension of Ordinary Least Squares (OLS) that incorporates an L_2 regularisation penalty (lambda sum beta_j^2) into the loss function. This mathematical constraint shrinks regression coefficients asymptotically toward zero, effectively mitigating multicollinearity and model overfitting ...
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