Thinking Generatively

Bayesian Inference is based on generative thinking

In the Machine Learning domain, we often find ourselves in the pursuit of inferring a functional relationship between the attribute variable(s) (i.e. features or simply, input data: x) and its associated response (i.e. the target variable: y). Being able to learn this relationship allows one to build a model that can predict a response, given any set of such attribute variables (i.e. the test data).

The usual suspect