please help me to solve this question.

Suppose we have a collection of observations (x1, di), ..., (N, dN), where xi and di are real valued inputs and desired outputs, respectively. We want to estimate di with yi (e.g. di ~ yi), where yi = x, w. This is accomplished by determining the regression coefficients, w, that minimize the following cost function: N E(w) = (di - x7 w)2 + 71120112 (1) i=1 where A is a regularization parameter (it is a constant). Bold indicates that x; and w are mul- tidimensional vectors. |w|2 = w w. Derive and show the solution for the optimal regression coefficients, w, that minimize this cost function. Be sure to show all work/steps. h ah ax AX XT A A XT X 2X XTAX AX + ATX Table 1: Potentially useful derivatives for matrices (or vectors), where A and X are each matrices (or vectors)