#PyMCLabs
🚀 CausalPy just hit 1,000+ ⭐ on GitHub — and crossed 120K downloads!

When A/B tests stop, CausalPy starts.

Bayesian. Interpretable. Open-source.

Huge thanks to everyone who’s contributed to the project.
👉Checkout CausalPy: dub.link/causalpy

#CausalPy #PyMCLabs #OpenSource #Bayesian #DataScience
June 23, 2025 at 5:12 PM
Join PyMC Labs & Fivetran to see a complete end-to-end Bayesian #MMM pipeline in action.

Automate data ingestion, prepare model-ready datasets, and run Bayesian inference .. all in one seamless workflow.

Register: dub.link/u4MM50H

#MarketingScience #PyMCLabs
October 13, 2025 at 1:08 PM
Your model was right. But it was too slow to matter.

AI agents can sit on top of your Bayesian models and give stakeholders answers in seconds, not days.

New from #PyMCLabs on the decision bottleneck: dub.link/odtRwW7

#DataScience #AIAgents #BayesianModeling #AgenticAI
April 15, 2026 at 12:52 PM
✍️ Writing a PyMC model isn’t easy — even for pros.

So we built ModelCraft — an AI modeling agent that writes PyMC code and checks it before you ever see it.

✅ No shape errors
✅ No hallucinated functions
✅ Just clean, working Bayesian models

📄 Full write-up: dub.link/6frGLdT

#genai #pymclabs
July 1, 2025 at 4:09 PM
If you optimize an AI agent for speed, the first thing it quietly stops doing is double-checking its work.

Learn how we cut model turns by 22% without sacrificing execution rigor:

#AgenticAI #LLMs #DataScience #PyMCLabs
Optimizing AI Agent Skills Without Sacrificing Quality
How we optimized an AI agent skill for 22% fewer turns, uncovered the hidden cost of efficiency, and used quality-gated rewards to preserve correctness.
www.pymc-labs.com
August 24, 2026 at 3:51 PM
Is your MMM giving paid search credit for demand that TV actually created?

We show how modeling search as a mediator, not just another channel, can change attribution and lead to very different budget decisions.

🔗 Read the full article: dub.sh/j4NHQoW

#Bayesian #PyMC #MarketingAnalytics #PyMCLabs
September 4, 2026 at 2:30 PM
How do you build an end-to-end #MMM leaders can trust?

Our new case study shows a transparent, reproducible #Bayesian workflow with uncertainty, lift, forecasting, and budget simulation.

Check the Case study here 👉 dub.link/FwwUUNA

#MarketingMixModeling #PyMCLabs
December 11, 2025 at 4:03 PM
The countdown has started!

Join us this Thursday, Oct 23 to learn how to build production-ready Marketing Mix Models (MMMs) with fivetran + PyMC-Marketing.

🔗 Register: dub.link/u4MM50H

#MarketingAnalytics #MMM #BayesianModeling #Fivetran #PyMCLabs
October 21, 2025 at 4:12 PM