WiMLDS Paris — Workshop on Bayesian Workflows with CmdStanPy

WiMLDS Paris
Sep 23, 2019 · 2 min read
Mitzi Morris introducing herself to the WiMLDS Paris attendees

On the 10th of September 2019, the WiMLDS Paris team got the pleasure to host its very first coding workshop at Agorize and welcomed Mitzi Morris. Mitzi Morris is a member of the Stan development team and the developer of CmdStanPy.

Mitzi 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.

Mitzi Morris

The point of the workshop was to learn how to implement Bayesian workflows using CmdStanPy (a Python interface for Stan). During the workshop, we worked with a very fun dataset and made predictions using Bayesian methods.

We played with a fun dataset!

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.

If you want to try CmdStanPy, here is everything you need to know!

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.

Mitzi Morris’ slides 😎

👩‍💻 We had a lovely evening with Mitzi and hope to organize more events similar to this one in the future. If you want to join our meetups, join our page.

The attendees and Mitzi 🤳

If you want to keep posted about our activities, you are welcome to

📑check our Google spreadsheet if you want to speak 📣, host 💙, help 🌠

🔗follow our Twitter account, Meetup page, Instagram or LinkedIn page

📍join our Slack channel for more discussions about machine learning, data science, and diversity in tech!

📩send an email to the Paris WiMLDS team to keep in touch >paris@wimlds.org

🎬 Follow our WiMLDS Paris Youtube channel

📸 WiMLDS has an Instagram account, a global LinkedIn page and a Facebook page!

🔥 Feel free to share your company or lab’s job positions for free on WiMLDS’ website.

WiMLDS Paris

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WiMLDS Paris is a community of women interested in Machine Learning & Data Science

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