Top Tweets for #PyMC
Most rankings hand you an ordered list. Chris Fonnesbeck's new post asks how far apart two college football teams really are, and how sure we can be, using a Bayesian model in #PyMC that he tests on 929 games from 2025.
Read the blog: https://t.co/GhQVS7Hui8
Linear regression assumes equal spacing. Multinomial ignores order entirely.
In his latest tutorial, @AllenDowney breaks down how to model ordered survey responses properly using PyMC: https://t.co/Eo8ryJJ7SP
#PyMC #DataScience #Python
Registration is OPEN for Applied Bayesian Modeling with PyMC (Nov 2 to Dec 2)!
Learn practical Bayesian statistics, hierarchical modeling, and uncertainty quantification live. Taught directly by the creators and maintainers of #PyMC.
Sign up today: https://t.co/NT1rDTFhnh
TODAY is the last day to enroll in Master Agentic Data Science! We start tomorrow, Oct 6.
Learn to build reliable, spec-driven AI agent workflows with Hugo Bowne-Anderson, Thomas Wiecki, & Luca Fiaschi.
Sign up today: https://t.co/knYPdfR8d4
#AIAgents #DataScience #PyMC
Most AI #agents answer the wrong question because they lack constraints.
The fix: Write a spec contract before execution (metrics, forbidden inputs & validation gates).
Learn this in Master Agentic Data Science:
https://t.co/XIdYHWYXgk
#DataScience #PyMC
You can now run a full Bayesian Marketing Mix Model in your browser with zero server uploads and zero Python setup.
Powered by PyMC + nuts-rs-wasm. 1,000 posterior draws in 7.8s on an M3 MacBook.
Read the post & try MixLab live: https://t.co/kMX61qdFuP
#PyMC #DataScience
Final call! Our #Bayesian Marketing Analytics course starts Monday, Sept 7.
Learn live with the team behind #PyMC, PyMC-Marketing, & CausalPy:
- Interactive coding (MMM & CLV)
- Bring your own data
- Private Discord Q&A
Register: https://t.co/NenK976eRI
#MarketingAnalytics
Most marketing models ignore real-world uncertainty.
Learn how to build production-ready MMM and CLV models live alongside Tim McWilliams and our team of Bayesian experts.
Starts Sept 7: https://t.co/domaqkl2pI
#MarketingAnalytics #PyMC #DataScience
Traditional MCMC too slow for production?
Amortized Bayesian Inference uses Generative AI to deliver sub-second posterior estimates.
Join Stefan Radev (BayesFlow creator), @twiecki , & @lfiaschi86 live on Sept 8 at 11 AM ET.
Register: https://t.co/AjoknZfeSP
#PyMC #GenAI
How to turn FDA guidance on Bayesian clinical trials into production Python code:
Learn how dynamic borrowing in #PyMC lets 40 control patients carry the weight of ~177, featuring ESS metrics & model stress-testing.
Walkthrough: https://t.co/3BagnvNNSu
#ClinicalTrials
How do you count what you canβt see?
Simple models miss unobserved cases in disease outbreaks. Here's how @AllenDowney uses Bayesian inference to build a model that quantifies uncertainty π
https://t.co/ZoPeGr8uXE
#Bayesian #PyMC #DataScience
You can read every book on #Bayesian modeling and still freeze when you point it at your own data. Chris Fonnesbeck, creator of #PyMC, on closing that gap.
Applied Bayesian Modeling with Chris Fonnesbeck and @AllenDowney Starts Aug 10
Register here: https://t.co/JSzfCtsh5n
Many strong data scientists avoid Bayesian methods, assuming grad-level stats and a wall of math.
@AllenDowney on why that's not true: learn a few core ideas, let PyMC handle the math, build real models from day one.
live, starts Aug 10 https://t.co/p9fgAOxSZh
#PyMC #Bayesian
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