Part 1: Bayesian Workflows with CmdStanPy (@WeWork Garment Dist) [w/ NYC WiMLDS]

Learn how to implement Bayesian workflows using CmdStanPy (a Python interface for Stan). In this hands-on workshop, we will be working with a very fun (surprise!) dataset and make predictions using Bayesian methods.

CmdStanPy allows pythonistas to add the power of Bayesian inference to their toolkit via a small set of functions and objects designed to use minimal memory and parallelize computation. Given a dataset and a statistical model written as a Stan program, CmdStanPy compiles the model, runs Stan’s MCMC sampler (via CmdStan) to obtain a sample from the posterior, and assembles this sample as a numpy nd-array or pandas.dataframe for downstream visualization and analysis.

This event is the first of a two-part series on CmdStanPy. The second event (on August 14th, https://www.meetup.com/NYC-PyLadies/events/262999852/) will be in the style of an OS Sprint where Python developers (at all levels!) will get to contribute to testing the package before its release. If you are a proponent of contributing to open source or have wondered how to contribute to an OS software package, please keep an eye out for when the RSVP's open!

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AGENDA

6:30pm - 7:00pm: Networking / Intros
7:00pm - 7:30pm: Intro to Bayesian Inference using Stan
7:30pm - 8:30pm: Hands-on Workshop
8:30pm - 9:00pm: Wrap Up / Networking

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SPEAKER BIO

Mitzi Morris is a member of the Stan development team and the developer of CmdStanPy.

She has worked as a software engineer in both academia and industry. She started out writing tools for Natural Language Processing in C and Java, then moved to genomics and biomedical informatics where she built pipelines for high-throughput sequencing electronic medical records data, all of which led to an increased interest in doing more and better statistics. She has been a Stan contributor since 2014 and joined the Stan team at Columbia in 2017.

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ABOUT WeWork

WeWork’s rapid growth is driven by our technology - the majority of which has been built in-house - which spans R&D, construction, real estate and design, as well as community experiences. We're much more than just a dynamic co-working space or incubator. Technology is woven into everything we do.

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INFO

MISSION: http://www.pyladies.com
CODE OF CONDUCT: http://www.pyladies.com/CodeOfConduct/

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WHAT TO BRING

• Your laptop
• A government-issued ID for getting into the building