Assume that a dataset of \(N\) values, \(x_{1}, \ldots, x_{N}\), was sampled from a Gaussian distribution. Assuming that the data are IID, find the maximum likelihood estimate of the Gaussian mean and variance. (start by writing down the combined likelihood of all \(N\) data points and note that the product of an exponential function can be written as the exponential of a sum.)