Bayesian methods using PyMC3 and ArviZ - Part 2

This is the second part of our two-part Bayesian methods using PyMC3 and ArviZ Series. You will get the most out of this workshop if you participate in both sessions.

Part 1 Meetup page: https://www.meetup.com/Pyladies-LA/events/265112520/?isFirstPublish=true

In this two-part talk, we'll cover applied Bayesian methods using PyMC3 and ArviZ. Bayesian methods are particularly powerful as they can include incorporation of prior beliefs, allow the statistician flexibility in the model definition, and of particular interest for the speaker, provide uncertainty estimates after inference.

This meetup is Part 2 of the 2-part series
In Part 2 (Oct 30), we'll use Bayesian linear regression models to show how Bayesian methods preserve uncertainty and discuss why this is important when making decisions in complex situations. In this section we'll use our PyMC3 and ArviZ skills to estimate parameters for slope, intercept, and noise on a couple of datasets.

RECOMMENDED PRE-REQUISITES
Both sessions will be hands-on using PyMC3, ArviZ and Jupyter notebooks. You'll be writing code as much as I'm talking about code! If you intend to participate in the hands-on section, bring your laptop with a Python environment. Instructions for how to get set up will be sent out prior to the meetup.

We expect the attendees to be fairly familiar with Python and working with data. Due to limited seats, please only RSVP if you are really interested. And please set up your environment before coming to the event

ABOUT THE SPEAKER:
Ravin Kumar (https://www.linkedin.com/in/ravinakumar/) is an engineer at Sweetgreen and is​ a maintainer on two NumFOCUS open-source libraries, ArviZ (https://arviz-devs.github.io/arviz/) and PyMC (https://github.com/pymc-devs/pymc).

OUR SPONSOR:
Sweetgreen Office at the PLATFORM. Please see the attached image for the detailed directions

PARKING:
Please park in the PLATFORM parking lot (https://platformla.com/visit-us/) or street parking. Please see the attached image for the detailed directions

CODE OF CONDUCT:
https://www.pyladies.com/CodeOfConduct/