Shrink the Weights, Save the Model: A Quick Look at Regularization
So, to simply put, Regularization is just simply making your parameters smaller and relatively less effective to avoid overfitting. oh, and the beautiful thing? — you get to keep all your features because you don't know which one might just make the ...
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