Machine Learning, Generative Model, Probability.
The problem we are trying to solve is to find the best h(x). For regression, the approach we usually follow is to define the sample space H as the set of all possible hypothesis. Our best prediction will be P({h}) has to be calculated from the training data taking into account the Noise