Consider the optimization problem argmin E(yx)2 R where N(1, 2), and (x, y) R R is the input-output pair for a regression model. Note that this is just an instance of dropout procedure where the original data x is transformed to x and then least-squares regression is performed. Now, also consider the ridge regression problem arg min (y x)2 + 2 R Is there a value of 2 for which the solution to the above problems will be the same? If there is no value, provide a justification correspondingly