Machine Learning, Deep Learning, Algorithms, Loss Function, Optimization.
producing a single prediction ŷ, we now think of the model as producing a conditional distribution p(y|x). We can model the linear regression problem as: we are assuming that y as having Normal distribution with ŷ as the mean of the distribution and the variance is fixed to some constant σ² chosen