What we’re about
PyMC Labs: The Bayesian Consultancy
PyMC is a probabilistic programming library for Python that allows users to fit Bayesian models using a variety of numerical methods, most notably Markov chain Monte Carlo (MCMC) and variational inference (VI). Its flexibility and extensibility make it applicable to a large suite of problems. Along with core model specification and fitting functionality, PyMC integrates with ArviZ for exploratory analysis of the results.
In this Meetup we will discuss topics related to PyMC, statistics, Python, Bayesian Analysis, to name a few.
We also will discuss use cases of PyMC in the business world.
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Contact
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If your company uses PyMC and would like to share about it with our community, please email us: info@pymc-labs.io
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PyMC Labs
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Website: https://www.pymc-labs.io
YouTube: https://www.youtube.com/c/PyMCLabs
LinkedIn: https://www.linkedin.com/company/pymc-labs/
Twitter: https://twitter.com/pymc_labs
PyMC Open Source: https://www.pymc.io/
Upcoming events (1)
See all- Latent Calendar: Modeling Weekly Behavior with Latent ComponentsLink visible for attendees
🎙️ Speaker: Will Dean, Thomas Wiecki | ⏰ Time: 16:00 UTC / 9am PT / 12pm ET / 6pm Berlin
Discuss using a classical Natural Language Processing technique for modeling weekly calendar data through a shift in vocabulary (pun intended). By using Latent Dirichlet Allocation to model discretized calendar events, the model’s probabilistic origin and Bayesian connection can be leveraged for various applications and insights.
📜 Outline of Talk / Agenda:
- 5 min: Intro to PyMC Labs and speakers
- 45 min: Presentation, panel discussion
- 10 min: Q&A
💼 About the speaker:
- Will Dean
Senior Data Scientist at FREENOW
Will Dean is a Statistician and Data Scientist with experience in geospatial and user analytics. He is passionate about Bayesian methods and using data visualization to tell a story. He is interested in software design and how it can make data problems easier and more enjoyable to solve.
🔗 Connect with Will Dean:
👉 LinkedIn: https://www.linkedin.com/in/williambdean/
👉 GitHub: https://github.com/wd60622- Dr. Thomas Wiecki (PyMC Labs)
Dr. Thomas Wiecki is an author of PyMC, the leading platform for statistical data science. To help businesses solve some of their trickiest data science problems, he assembled a world-class team of Bayesian modelers and founded PyMC Labs -- the Bayesian consultancy. He did his PhD at Brown University studying cognitive neuroscience.
🔗 Connect with Thomas Wiecki:
👉 GitHub: https://github.com/twiecki
👉 Twitter: https://twitter.com/twiecki
👉 Website: https://twiecki.io/📖 Code of Conduct:
Please note that participants are expected to abide by PyMC's Code of Conduct.🔗 Connecting with PyMC Labs:
👥 LinkedIn: https://www.linkedin.com/company/pymc-labs/
🐦 Twitter: https://twitter.com/pymc_labs
🎥 YouTube: https://www.youtube.com/c/PyMCLabs
🤝 Meetup: https://www.meetup.com/pymc-labs-online-meetup/🔗 Connecting with PyMC Open Source:
💬 Q&A/Discussion: https://discourse.pymc.io
🐙 GitHub: https://github.com/pymc-devs/pymc
💼 LinkedIn: https://www.linkedin.com/company/pymc/mycompany
🐥 Twitter: https://twitter.com/pymc_devs
📺 YouTube: https://www.youtube.com/c/PyMCDevelopers
🎉 Meetup: https://www.meetup.com/pymc-online-meetup/
