Software Engineering for Probabilistic Programming

Join our Meetup group:

https://www.meetup.com/data-umbrella/events/287467730/

Join the webinar here:

https://www.bigmarker.com/neo4j/Data-Umbrella-Webinar

Time

9am PST / 12pm EST/ 7pm EAT / 9:30pm IST

Video Recording

This event will be recorded and placed on our YouTube. We usually have it up within 24 hours of the event. Subscribe to our YouTube and set your notifications:

https://www.youtube.com/c/DataUmbrella/

Speaker

Mitzi Morris

Talk Level

Intermediate

Pre-reqs

None required.

You can look at:

Intro to statistical modeling: https://github.com/rmcelreath/stat_rethinking_2022

Intro Stan case study: https://mc-stan.org/users/documentation/case-studies/pool-binary-trials.html

Prep Work

Experience with datasets as data frames in Python or R and using regression models or ML techniques for either analysis or prediction.

Resources

Stan User's Guide: https://mc-stan.org/docs/stan-users-guide/index.html,

CmdStanPy docs: https://mc-stan.org/cmdstanpy/,

Event

Our goal is to provide a wholistic introduction to Bayesian modeling for data scientists as well as to demonstrate best practices for Bayesian data analysis and prediction. We use the Stan probabilistic programming language and inference engines to do inference, and the plotnine package for visualization. Applied statistical modeling starts with the question we are trying to answer and the available data. We must understand both the data and the analysis goals before proceeding to model building. We use the Stan probabilistic programming language and inference engine to build and fit our models, via modern Python interface CmdStanPy, and we use the Python package plotnine for visualization

Speaker

Mitzi Morris is a member of the Stan development team. As a software engineer, she has contributed to the core Stan C++ infrastructure and authored CmdStanPy . As a Bayesian data analyst, she has helped epidemiologists use Bayesian method for disease mapping. Her background is software engineering and natural language processing, with a detour through genomics and bioinformatics.

GitHub: https://github.com/mitzimorris

CONNECTING WITH US

We invite you to follow us on our social networking sites to keep up to date on the latest news we will be sharing.

MEETUP: https://www.meetup.com/data-umbrella/

JOB BOARD: https://jobs.dataumbrella.org/

NEWSLETTER: https://dataumbrella.substack.com/

TWITTER: https://twitter.com/DataUmbrella

YouTUBE: https://www.youtube.com/c/dataumbrella

LinkedIn: www.linkedin.com/company/dataumbrella/

Instagram: https://www.instagram.com/data.umbrella