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

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

And If you want to actually build agentic data science workflows yourself, that's what we teach in our live Master Agentic Data Science course 👉 dub.sh/ErCOVwF

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-...

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

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

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

Most optimization models assume you already know what's coming. Demand. Weather. Prices. But that forecast is almost always wrong, and your decision inherits the risk. Jun 25: PyMC Labs × FICO on optimization that stays robust when reality doesn't cooperate. Save your spot: dub.sh/0773R17

New PyMC model forecasts the entire 2026 World Cup group stage: scorelines and advancement odds for all 48 teams. Opening day it nailed Mexico 2-0 and Korea 2-1. England, Spain, and Brazil lead; Group D is chaos. Read the full blog here: dub.sh/hBW61BZ #PyMC #WorldCup2026

Will oil come back down? We made 5 AI analysts answer separately, then checked if they agreed. 19 years of WTI data, five independent Bayesian forecasts via Decision Lab Full case study here: dub.sh/RIUshGd #Bayesian #Forecasting

Production MMM breaks when influencers aren't interchangeable, campaigns shift, and channels enter mid-series. Part III of our Nürnberger case study tackles all three. 27%+ CPL reduction: dub.sh/5LLFAJ9 #MarketingMixModeling #BayesianStatistics #PyMC

Last call! Our Master Agentic Data Science course starts tomorrow. Build agent-assisted EDA, causal inference pipelines, and decision systems. Code ADS10L for 10% off. 👉 dub.link/9YG77NC #AgenticAI #DataScience #PyMC

We're sponsoring the M-Agents Hackathon at #NYCTechWeek on June 7. Go from zero to a working multi-agent AI system in one day, built with open-source tools like #PyMC and Decision Lab. Winners get a seat in our Agentic AI course. Spots are limited dub.link/ZE70nxd

@wegmansofficial.bsky.social needed to quantify cannibalization risk before opening new stores. We built a Bayesian system that answers in minutes, not weeks. Full technical walkthrough: dub.sh/1ENBxEc #RetailAnalytics #BayesianStatistics #PyMC

The radar plot is the most popular chart in football analytics. It might also be the least effective. Chris Fonnesbeck breaks down why and builds the replacement: dub.sh/BUsCcev #SportsAnalytics #DataViz #Bayesian

We mapped the AI-course landscape for data scientists. One area was underserved: Bayesian agents for decision-making, where statistical rigor matters as much as speed. That's why we built the "Master Agentic Data Science" Course dub.link/DVJD47D #AgenticAI #DataScience

"What if I shift 20% of TV into paid social?" Tomorrow we're typing that into a live MMM agent. Real answer, under 30 seconds. Join us live: dub.sh/EbAc1NH #MMM #Agentic

We're offering free scholarship seats for our #Agentic Data Science course. Grad students, early-career data scientists, nonprofit researchers, practitioners where course fees are a barrier -- we don't want cost to stop you. Apply before May 27: ggl.link/EubkG6l

"How many people did COVID kill in the UK?" is the wrong question. The right one is counterfactual: how many would have died without it? You can't observe that world. You have to model it. #BayesianStatistics #PyMC #CausalInference

I want to use AI agents, but I can't trust the output." We kept hearing this, so we built a community to solve it together. Daily AI news briefs, early tool access, and real conversations. The Decision AI Discord is open: discord.gg/mfNmfhhwhR #DecisionAI #AgenticAI #PyMC

"What happens if I shift 20% of TV into paid social?" On May 7, we're typing that into a live MMM agent. It answers in under 30 seconds. Register to join us live: dub.sh/HJ7h4iu #MMM #AgenticAI

Why do women outlive men by 12 years in some countries but only 2 in others? @allendowney.bsky.social breaks it down with Bayesian counterfactual modeling, live at @odsc.bsky.social East, April 30. #ODSC2026 #PyMC #BayesianStats

Why does LASSO shrink every sector's coefficient toward zero, whether momentum, value, or profitability? Wrong target. Partial pooling in #PyMC shrinks to a learned global mean instead. Net Sharpe 1.47 on US equities after costs Full blog here: dub.sh/icrbIgV #QuantFinance

5 years of UK electricity demand, decomposed in 60 seconds on a laptop. Trend + annual cycle + weekday effect, one compositional Bayesian model in PyMC with HSGP. That's what we're teaching in London, Jun 8–10. Early-bird closes Apr 27: dub.sh/GAjQB5gg #PyMC #Bayesian

Your new SKU's sales chart is up. Half the volume might be coming from your own flagship. A Bayesian discrete choice model traces every unit back to its real source: own-portfolio vs. competitor vs. brand-new buyer. Here's what that picture looks like ↓ #MMM #CPG

Most MMMs sit idle because only three people in the org can drive them. The fix isn't a better model. It's a better interface. Agentic dashboards, live demo: May 7, 11 AM EST. Signup here: dub.sh/2VOLNC8 #MMM #MarketingAnalytics #AgenticAI

Nürnberger had a classic #MMM problem: lower-funnel capped, upper-funnel invisible, GDPR shortening journeys. We built a funnel-aware MMM in pymc-marketing with censored demand + dual likelihoods. Result: 27%+ lower CPL in 6 months. Read Part I: dub.sh/o690ugv #Bayesian

An uncalibrated #MMM can get ROAS direction wrong, not just magnitude. We walk through prior predictive checks, ROAS parametrization, saturation likelihoods, and where lift tests break down. Full recording available on youtube : dub.sh/oAjXCiG #MMMCalibration #BayesianModeling

Watched your MCMC sampler fail after 20 min? INFERLOG HOLMES flags convergence issues in real time, 30 seconds into sampling. Full webinar recording with the researchers + Chris Fonnesbeck and Oriol Abril Pla now available to watch on YouTube: 👉 dub.link/v7W5hwI #BayesianInference

Getting an LLM to run an analysis is easy. Getting it to run one you'd stake a decision on? Different problem entirely. 4 live sessions. Spec-driven workflows. Bayesian rigor. June 2-11. Signup here: dub.link/kcIhjOi #AgenticAI #DataScience #PyMC