While My MCMC Gently Samples

Bayesian modeling, Computational Psychiatry, and Python

Bayesian Deep Learning

Neural Networks in PyMC3 estimated with Variational Inference

(c) 2016 by Thomas Wiecki

There are currently three big trends in machine learning: Probabilistic Programming, Deep Learning and "Big Data". Inside of PP, a lot of innovation is in making things scale using Variational Inference. In ...

MCMC sampling for dummies

When I give talks about probabilistic programming and Bayesian statistics, I usually gloss over the details of how inference is actually performed, treating it as a black box essentially. The beauty of probabilistic programming is that you actually don't have to understand how the inference works in order to ...

A modern guide to getting started with Data Science and Python

Python has an extremely rich and healthy ecosystem of data science tools. Unfortunately, to outsiders this ecosystem can look like a jungle (cue snake joke). In this blog post I will provide a step-by-step guide to venturing into this PyData jungle.

What's wrong with the many lists of PyData ...