Question: ( a ) What is regularization and why it is important in supervised machine learning? ( b ) Suggest how the update for the L

(a) What is regularization and why it is important in supervised machine learning?
(b) Suggest how the update for the L1 regularizer could be carried out once per example rather than after all examples have been considered. Which do you think would work better, and why?

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