Although our world is most probably deterministic, humans by nature operate under imperfect information and uncertainty. And it’s not surprising that we thrive because our biological machinery is s...

The goal is to explore Gaussian process(GP) which are Bayesian non-parametric models, in the context of regression problems. Focusing on the key terms, the easiest to tackle is regression which yo...

This post describes the Sum Product algorithm which is a neat idea that leverages a handful of important theories from across the field and extends towards more complex models. I found it to be a v...