Linear Modelinghard
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Ridge regression adds penalty λjβj2\lambda\sum_j \beta_j^2. As λ\lambda \to \infty, what happens to β^ridge\hat{\boldsymbol{\beta}}^{\text{ridge}}? How does this differ from Lasso?