Probabilistic Programming in Python

AGENDA:
6:00 - 6:35 Pizza, Beer, and Networking
6:35 - 7:05 "Functions as a Service with Zappa and AWS Lambda" from Phil Varner
7:05 - 8:00 "Introduction to Probabilistic Programming in Python" from Zach Anglin

UPDATE: Please note that the time has changed to 6pm-8pm. This meet-up is now a double-feature — we're teaming up with Python Charlottesville! The second talk will be "Functions as a Service with Zappa and AWS Lambda" from Phil Varner.

Please join us for the June 2018 edition of the Charlottesville Data Science meet-up! Zach Anglin, Senior Data Scientist at S&P Global, will be presenting an introduction to probabilistic programming in Python with the PyMC3 package.

More on PyMC: http://docs.pymc.io

PyMC3 is a Python package for Bayesian statistical modeling and Probabilistic Machine Learning focusing on advanced Markov chain Monte Carlo (MCMC) and variational inference (VI) algorithms. Its flexibility and extensibility make it applicable to a large suite of problems.

More on probabilistic programming: http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/