data analytics usfAssume independent and identically distributed (iid) samples D = {x1, . . . , xN } from a Gaussian distribution, i.e., xn N (, 2), n = 1, . . . , N . a) Derive the maximum likelihood (ML) estimates of and 2. [15 pts] b) Show if the ML estimate M L is biased (i.e., E[M L] 6 = ) or unbiased (i.e., E[M L] = ). [10 pts]