Finding the maximum likelihood estimation for normally distributed noise is the same as minimising mean squared error

Statement

Lemma

Suppose we have some target where the training data has i.i.d. normally distributed noise values such that we have . Then finding the maximum likelihood estimation is the same as minimising the Mean squared error (MSE), i.e.

Proof

This comes from direct calculation.