(5 points) In a regularized regression model (ridge regression), the target function to be minimized is (B)( BAß where z, and yi are the observed predictor and response values,n is the number of observations, A is a given hyper-parameter, and B is the target parameter to be estimated. Use the gradient descent method to find β respectively when λ-: 1, 10, 100. The observed data areas follows, x. 1 10 32 2 13 40 3 17 46
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