A different take on Bayes Rule

A little more intuition about the terms “posterior”, “prior”, and “likelihood” from a Machine Learning and incremental learning perspective.

Bayes Rule — θ refers to the model, D refers to a data point

Goal of this article

Most people reading this article have seen demonstrations of each probability distribution in Bayes Rule. Most people…