Question: (a) Using matrix/vector notation, write down a loss function that measures the training error in terms of the l1-norm. Write down that sizes of all

(a) Using matrix/vector notation, write down a loss function that measures the training error in terms of the l1-norm. Write down that sizes of all matrices/vectors. (b) Can you simply write down the optimal linear model in closed form, as we did for the standard linear regression model? If so, do it. If not, explain why not. (c) In about 2-3 sentences, reflect on how you solved this question, and relate any aspects of this to the 3-step recipe for machine learning we discussed in class

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