Question: Consider a linear model: g=Tx, The regression problem we want to solve is =Rdargminn=1N(yng(xn))2, where D={(xn,yn)}n=1N is the training dataset. Putting the equation into the

Consider a linear model: g=Tx, The regression problem we want to

Consider a linear model: g=Tx, The regression problem we want to solve is =Rdargminn=1N(yng(xn))2, where D={(xn,yn)}n=1N is the training dataset. Putting the equation into the matrix form, we know that the optimization is equivalent to Derive the gradient descent step for this problem. That is, find the gradient Etrain(k) and substitute it into the equation: k+1=kkEtrain(k)

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