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PyMC Labs

@pymc-labs.bsky.social
1.4K followers 2 following 231 posts

The Bayesian AI Consultancy • Using PyMC to solve your most challenging data science problems • pymc-labs.com

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PyMC Labs @pymc-labs.bsky.social · 02/10/2026
Today is the LAST DAY to apply for the Master Agentic Data Science scholarship! Applied previously? You're already in the pool and will be automatically reconsidered! Cohort 3 starts Oct 6. Apply by midnight: dub.sh/YqoeygY View Course: dub.sh/RS2zxEP #AIAgents #DataScience #PyMC
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PyMC Labs @pymc-labs.bsky.social · 01/10/2026
Join @gaelvaroquaux.bsky.social , Shipra Arora (Bain & Company) @hugobowne.bsky.social & Luca Fiaschi (PyMC Labs) to explore real-world AI agent workflows, trust & enterprise impact. 📅 Fri, Oct 2 | 7 AM EDT / 1 PM CEST 🔗 Register: dub.sh/7m9nBcj #AIAgents #DataScience #PyMC
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Reposted by PyMC Labs
Gaël Varoquaux @gaelvaroquaux.bsky.social · 01/10/2026
Tomorrow, I'm on the Vanishing Gradients podcast to talk about agentic science with @hugobowne.bsky.social, Shipra Arora from Bain & Company, and Luca Fiaschi from @pymc-labs.bsky.social Online live panel, with QA! 🗓️ Fri Oct 2, 1pm CEST / 7am EST ➡️ Register: numfocus-org.zoom.us/webinar/regi...
numfocus-org.zoom.us
Welcome! You are invited to join a webinar: The State of Agentic Data Science: From Hype to Real-World Impact. After registering, you will receive a confirmation email about joining the webinar.
Agentic AI is beginning to reshape how data science is done, from analytical workflows and experimentation to model development and decision-making. But where does the technology stand today, and what...
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PyMC Labs @pymc-labs.bsky.social · 30/09/2026
Our final Master Agentic Data Science cohort of 2026 starts next week (Oct 6)! Learn to build reliable, production AI agents using Bayesian reasoning, MCP, & spec-driven workflows. Enroll: dub.sh/x9yCMm4 #DataScience #AIAgents #PyMC
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PyMC Labs @pymc-labs.bsky.social · 29/09/2026
One week to go until #AIWeekNY! On Oct 6, leaders from BCG X, Databricks & PyMC Labs come together to discuss what happens when Agentic Data Science moves beyond demos and into real business workflows. 🎟️Signup today: dub.sh/ltud9Bi #AgenticAI #DataScience
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PyMC Labs @pymc-labs.bsky.social · 25/09/2026
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: dub.sh/VABfaNi #DataScience #PyMC
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PyMC Labs @pymc-labs.bsky.social · 23/09/2026
What happens when data science agents work together? Join our #AIWeekNY hackathon and build multi-agent workflows using Daimon! Compete for prizes and get direct feedback from PyMC Labs experts. Register: dub.sh/56rdlqt #AIAgents #DataScience #PyMC #Hackathon
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PyMC Labs @pymc-labs.bsky.social · 22/09/2026
The State of Agentic Data Science: From Hype to Real-World Impact Join us Oct 2 for a live panel with Gaël Varoquaux (scikit-learn co-creator), Shipra Arora (Bain & Co.), Hugo Bowne-Anderson, & Luca Fiaschi (PyMC Labs). 🔗 Register: dub.sh/40B4IKi #DataScience #AIAgentt
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PyMC Labs @pymc-labs.bsky.social · 21/09/2026
Calibrating an MMM with 150 lift tests across 30 markets? Calibration updates a belief; it shouldn't overwrite one. Model experiments first with a hierarchical model, then combine at the decision layer. Expert Access: dub.link/De4doFo #MMM #PyMC
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PyMC Labs @pymc-labs.bsky.social · 16/09/2026
What does agentic AI actually look like in production? Join BCG X, Databricks & PyMC Labs on Oct 6 in NYC to explore what it takes to move beyond demos and deploy AI agents in real business workflows. 🎟️ Register here: dub.sh/Y7BxZhd #AIWeekNY
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PyMC Labs @pymc-labs.bsky.social · 15/09/2026
Free contributor seats are open for Master Agentic Data Science (final cohort of 2026)! Build production AI agents for real data science. In exchange, contribute a project post-course. Apply: dub.sh/NyMxJov Learn more: dub.sh/HBA42Oc
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PyMC Labs @pymc-labs.bsky.social · 14/09/2026
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: dub.sh/So8cd82 #PyMC #WebAssembly #DataScience #OpenSource
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PyMC Labs @pymc-labs.bsky.social · 10/09/2026
Judging an #MMM on forecast accuracy optimizes for the wrong thing. MMMs predict interventions (budget shifts, pricing), not external market noise. A model can forecast poorly and still get incrementality right. Learn more about our Expert Access program: dub.link/q9rBX5v
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PyMC Labs @pymc-labs.bsky.social · 08/09/2026
Master #Agentic Data Science (October Cohort) is officially open! This is our FINAL cohort of 2026. Learn to build production-grade AI agents for structured data with MCP and statistical rigor. Live with Hugo Bowne-Anderson, Thomas Wiecki, and Luca Fiaschi Register here: dub.sh/gh9bmqO
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PyMC Labs @pymc-labs.bsky.social · 07/09/2026
Happening TOMORROW at 11:00 AM ET! Turn slow MCMC sampling into sub-second forward passes using Generative AI (BayesFlow + PyMC). Join Stefan Radev, Thomas Wiecki, & Luca Fiaschi live to ask questions & get the full recording + code: dub.sh/9Jx1fii #PyMC #GenAI
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PyMC Labs @pymc-labs.bsky.social · 04/09/2026
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
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PyMC Labs @pymc-labs.bsky.social · 03/09/2026
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: dub.sh/CAtxlsn #MarketingAnalytics
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PyMC Labs @pymc-labs.bsky.social · 02/09/2026
Single-number ETAs ("Delivery: Oct 15") hide expensive delay risks. In our new guide, Carlos Trujillo shows how to build probabilistic arrival time forecasts in #PyMC to turn timeline uncertainty into optimal, cost-effective safety buffers. Read the post: dub.sh/uoOk776 #Bayesian #PyMC
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PyMC Labs @pymc-labs.bsky.social · 01/09/2026
Building a diffusion model for Simulation-Based Inference isn't one-size-fits-all. It's a true "garden of design choices." Join Stefan Radev, Thomas Wiecki, & Luca Fiaschi live Sept 8 to map these choices with BayesFlow + PyMC. Register: dub.sh/B24iJfD #PyMC #GenAI
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PyMC Labs @pymc-labs.bsky.social · 01/09/2026
From our Expert Access Program: Running media before a product is buyable? Standard adstock breaks when sales are zero. Push effects forward with a lagged adstock, and use search volume as an uncensored demand proxy. Explore the program: dub.link/ZQweNXj
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PyMC Labs @pymc-labs.bsky.social · 31/08/2026
The cohort leadership asks about most is always the one with the shortest history. Hierarchical Bayesian models fix thin cohort data by letting new groups borrow strength across your business. Learn #Bayesian CLV live starting Sept 7: dub.sh/iXDRe79 #PyMC #CLV
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PyMC Labs @pymc-labs.bsky.social · 26/08/2026
Added viewership as a control variable and watched media attribution collapse? You controlled for a mediator. High fit != causal validity. Conditioning on downstream metrics blocks the exact path you're measuring. Explore the Expert Access Program: dub.link/0HMuMuz #MMM #Bayesian
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PyMC Labs @pymc-labs.bsky.social · 25/08/2026
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: dub.sh/yDueNC6 #MarketingAnalytics #PyMC #DataScience
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PyMC Labs @pymc-labs.bsky.social · 25/08/2026
Traditional MCMC too slow for production? Amortized Bayesian Inference uses Generative AI to deliver sub-second posterior estimates. Join Stefan Radev (BayesFlow creator), Thomas Wiecki, & Luca Fiaschi live on Sept 8 at 11 AM ET. Register: dub.sh/FF748Mh #PyMC #GenAI
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PyMC Labs @pymc-labs.bsky.social · 24/08/2026
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
pymc-labs.com
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.
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PyMC Labs @pymc-labs.bsky.social · 19/08/2026
Fitting marketing models separately fails on thin data. Hierarchical models fix this by letting small markets borrow strength across your business. Learn live from our experts in our Bayesian Marketing Analytics course. Starts Sept 7: dub.sh/7kxb2JU #MarketingAnalytics
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PyMC Labs @pymc-labs.bsky.social · 18/08/2026
Is your growth driven by ad spend or viral word-of-mouth? Learn how to use the Bass Diffusion Model in PyMC-Marketing to separate organic adoption from marketing push and forecast reach with just 4 data points. Read the blog post here 👇 #PyMC #Bayesian
pymc-labs.com
The Bass Diffusion Model: Forecasting Media Adoption
The bass diffusion model forecasts media hits by splitting growth into marketing-driven innovation and word-of-mouth imitation. Applied to box office data.
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PyMC Labs @pymc-labs.bsky.social · 13/08/2026
Ever built a great model, only to struggle when allocating the budget? Instructor Carlos Trujillo shares how our Bayesian Marketing Analytics course turns PyMC models into actionable budget decisions. Reserve your spot: dub.sh/VMcKaVk #Bayesian #PyMC #Marketing
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PyMC Labs @pymc-labs.bsky.social · 10/08/2026
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: 👇
pymc-labs.com
Bayesian Borrowing in Clinical Trials with PyMC
Learn how Bayesian borrowing uses historical controls to reduce trial enrollment, stress-test error rates, and improve assurance with runnable PyMC code.
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PyMC Labs @pymc-labs.bsky.social · 10/08/2026
PyMC-Marketing v1.0 is live! Stable Bayesian marketing analytics by PyMC Labs: • Multidimensional & ~1.5x faster • Predicted Incrementality (PIE) • Funnel-Aware MMM • Long-Term Brand Effects Docs & Release: dub.sh/NIB4SZm #MMM #PyMC
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PyMC Labs @pymc-labs.bsky.social · 07/08/2026
Enrollment is closing this week for our Applied Bayesian Modeling course, starting August 10. Join Christopher Fonnesbeck and @allendowney.bsky.social for 8 live sessions covering PyMC, MCMC, hierarchical modeling, and causal inference. Secure your spot: dub.sh/do8Hrox #Bayesian #PyMC
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PyMC Labs @pymc-labs.bsky.social · 06/08/2026
One of our most requested courses is back! Our 4-week Bayesian Marketing Analytics live cohort starts Sept 7. Build production-ready MMM, CLV, and causal models in Python alongside the maintainers of PyMC-Marketing. Limited spots available. Reserve yours: dub.sh/d7chuOT
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PyMC Labs @pymc-labs.bsky.social · 03/08/2026
An empty shelf looks exactly like weak demand to a forecasting model. You sold nothing because you had nothing, and it tells you to order even less next time. #Forecasting for Decision Making. Free webinar, Aug 11: dub.sh/IZRlhmt #BayesianStatistics #DataScience
Forecasting for Decision Making: How to Test a Business Decision Before You Make It -1
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PyMC Labs @pymc-labs.bsky.social · 30/07/2026
How do you count what you can’t see? Simple models miss unobserved cases in disease outbreaks. Here's how @allendowney.bsky.social uses Bayesian inference to build a model that quantifies uncertainty 👇 allendowney.github.io/ThinkBayes2/... #Bayesian #PyMC #DataScience
allendowney.github.io
Tracking an Outbreak with Mark and Recapture — Think Bayes
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PyMC Labs @pymc-labs.bsky.social · 29/07/2026
How do top practitioners actually build with AI #agents in production? Chip Huyen ( @chiphuyen.bsky.social ) & Tim Hopper show Thomas Wiecki & Hugo Bowne-Anderson how they really work. Show Us Your (Agent) Skills Ep 8, tomorrow. 📅 Thurs, 7 PM ET | Live on YouTube
luma.com
Show Us Your (Agent) Skills Ep 8 · Luma
What are people at the top of the game building with AI agents, and how are they doing it? Are they Claudemaxxing with eight terminals open at once? Are they…
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PyMC Labs @pymc-labs.bsky.social · 27/07/2026
Everyone's talking about AI agents. Fewer talk honestly about what works when you point them at real data. So we're asking. Short survey for data scientists: what's working, what broke, what you quietly gave up on. 10-15 min, findings shared back. Survey Link: #DataScience #AIAgents
tally.so
State of Agentic Data Science 2026 Survey
Made with Tally, the simplest way to create forms.
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PyMC Labs @pymc-labs.bsky.social · 24/07/2026
Last day to apply for a free seat in our August cohort of Mastering #Agentic Data Science. For grad students, early-career data scientists, and anyone for whom course fees are a real barrier. Apply by end of day: dub.sh/bxCxQd8 Course details: dub.sh/41KbZYG
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PyMC Labs @pymc-labs.bsky.social · 23/07/2026
AI #Agents can build a model in minutes. They can also be confidently wrong. The skill that matters now is directing them with your context, judgment, and standards. Mastering Agentic Data Science, live cohort starting August 4th. Register 👉 dub.sh/0gFu8xo
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PyMC Labs @pymc-labs.bsky.social · 22/07/2026
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.bsky.social Starts Aug 10 Register here: dub.sh/m4qlWyb
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PyMC Labs @pymc-labs.bsky.social · 16/07/2026
Many strong data scientists avoid Bayesian methods, assuming they need grad-level stats and a wall of math. Hear from @allendowney.bsky.social 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 dub.sh/2peuf1j #Bayesian
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PyMC Labs @pymc-labs.bsky.social · 15/07/2026
The first #datascience agent built for your team's workspace. Daimon is a purpose-built #agent for DS & has run in our team chat for over a year: 150+ MCP tools on your real stack, an isolated VM per session, right in the channel. Live webinar, July 21 dub.sh/ADOOgNo
Daimon - Data Science Agent by PyMC Labs
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PyMC Labs @pymc-labs.bsky.social · 13/07/2026
Show Us Your (Agent) Skills: Hugo Bowne-Anderson & Thomas Wiecki host Greg Ceccarelli (SpecStory, ex-GitHub) and Han-Chung Lee (Moody's Analytics). No slides, no keynotes. Just terminals and an honest look at how they actually build with agents day-to-day. Save your spot: luma.com/y4hylb82
luma.com
Show Us Your (Agent) Skills Ep 7 · Luma
What are people at the top of the game building with AI agents and how are they doing it? Are they Claudemaxxing with 8 terminals open at once? Or…
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PyMC Labs @pymc-labs.bsky.social · 09/07/2026
Everyone's selling "self-improving" AI agents. Almost nobody tells you when it actually works and when it quietly makes things worse. Our new post draws the line: dub.sh/yGCfjYn #AIagents #LLM
pymc-labs.com
Self-Improving AI Agents, When Skill Optimization Works
Self-improving AI agents rewrite their own skills against a benchmark. Four experiments show when automated skill optimization works — and when it fails.
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PyMC Labs @pymc-labs.bsky.social · 07/07/2026
Registration is open for the August cohort of Applied #Bayesian Modeling, live with Allen Downey (@allendowney.bsky.social) and Chris Fonnesbeck (@fonnesbeck.bsky.social) 4 weeks, 8 sessions in #PyMC: priors, MCMC, hierarchical models, causal inference, time series. Enroll: dub.sh/abm-bluesky-...
Applied Bayesian Modeling Course By PyMC Labs
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PyMC Labs @pymc-labs.bsky.social · 02/07/2026
We've had an open-source #AI agent living in our team chat for a year. It writes code, runs analysis, and fixes CI, all without leaving the channel called Daimon Live July 21: #agentic teammates for data science + a Daimon demo. 👉 Register here: dub.sh/adsa-bluesky #DataScience #AIagents
Data Science Agents in Your Team Chat From Data to Insight Without Leaving the Channel
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PyMC Labs @pymc-labs.bsky.social · 02/07/2026
Free seats for our #Agentic Data Science course (August cohort) Live, hands-on: get #AI agents doing real analytics, catch the stats mistakes they make, keep uncertainty in your decisions. Especially for grad students, early-career & nonprofit researchers. Apply here: dub.sh/bxCxQd8
Master Agentic Data Science Course Scholarships - PyMC Labs
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PyMC Labs @pymc-labs.bsky.social · 30/06/2026
Before kickoff we froze a Bayesian forecast for all 48 World Cup teams. Now a state-space update in @pymc.io re-rates them off the group stage and simulates the full knockout bracket. England 14.8% to win, but the favorite still loses ~6 in 7 dub.sh/gRAdsqc #SportsAnalytics #PyMC #Worldcup2026
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PyMC Labs @pymc-labs.bsky.social · 29/06/2026
A new event-forecaster dpack just landed in decision-lab! Ask "when will X happen?" and it runs an ensemble of independent Bayesian forecasters in PyMC, returns one calibrated estimate, and never mistakes consensus for proof. GitHub Repo: git.new/Y678Uy3 #PyMC #Bayesian
git.new
decision-lab/decision-packs/event-forecaster at main · pymc-labs/decision-lab
Run tested, autonomous agent workflows on your data for meaningful decision-making - pymc-labs/decision-lab
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PyMC Labs @pymc-labs.bsky.social · 29/06/2026
You can move fast with AI agents. You can also keep your analysis trustworthy. Most teams pick one. Master Agentic Data Science (Aug cohort) is open — agents doing real analytics, not just code. Live with Hugo Bowne-Anderson, Thomas Wiecki (co-author of PyMC) and Luca Fiaschi 👉 dub.sh/rY7vXGv
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PyMC Labs @pymc-labs.bsky.social · 24/06/2026
📢 Just announced: Show Us Your (Agent) Skills Ep. 06. Thomas Wiecki (PyMC Labs) & Hugo Bowne-Anderson host Matt Rocklin (Dask) and Skylar Payne (Wicked Data) to show what they're building with agents. Register to join live or catch the recording: luma.com/znkfnbtz
luma.com
Show Us Your (Agent) Skills Ep. 06 · Luma
What are people at the top of the game building with AI agents and how are they doing it? Are they Claudemaxxing with 8 terminals open at once? Or…
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