MLE of a Gaussian $p_{model}$ (50 points) #
The above notebook presents an array of data points called data and plots several hypotheses involving the negative log-likelihood. Estimate the parameters of the Gaussian $p_{model}$ by adding the code that implements this estimation in the placeholder provided (20 points) and explaining what it does (30 points).
MLE of a Gaussian $p_{model}$ for a regression problem (50 points) #
Repeat for the regression problem given (20 points for a correct implementation and 30 points for adequate explanation).