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a ) Prove the equivalence between the Bayes rule and the minimum expected loss rule for classification under the assumption of known class - conditional
a Prove the equivalence between the Bayes rule and the minimum expected loss rule for classification under the assumption of known classconditional densities.
b Analyze the VapnikChervonenkis VC dimension of linear regression and explain how it relates to the generalization ability of the model.
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