# Posts

### Why I'm Excited about PyMC3 v3.5.0

A whirlwind tour of some new features

### A summary of "Generalizing Hamiltonian Monte Carlo with Neural Networks"

Notes from PyMC3 journal club

### Slides from "Two Years of Open Source"

Slides from a talk at Phillips Academy Andover on 12 January, 2018.

### Bad Traces, or, Don't Use Metropolis

An example of what happens when MCMC goes wrong

### A working knowledge of machine learning in 45 minutes

“Sure, 45 minutes should be enough.”

### Slides from "Two views on regression with PyMC3 and scikit-learn"

Reflections and slides from a workshop at PyData NYC 2017

### Does this convince you that self-driving cars are safe?

An example of hierarchical partial pooling applied to driving fatality rates

### Handling multiple python versions

My setup for running multiple versions of Python

### Slides from "Hamiltonian Monte Carlo in PyMC3"

Slides and code from a talk at the Boston Bayesians meeetup on 15 June, 2017.