How to Maximize the Log of the Probability Expression

If you've taken a multi variate class, especially a matrix based one, it is so elegant in how you can take that uni variat distribution function. And instead of taking a derivative, you take partial derivatives. You take derivatives with respect to each perimeter. Everything just scales up. That is how maximum likelihood works. We're talking about it right now in one dimension, but it extends to dealing with other things in one dimension and then multiple dimensions itself.