PyMC Labs @pymc_labs
The Bayesian Consultancy • Using PyMC (@pymc_devs) to solve your most challenging data science problems • https://t.co/Tnl7mlPMG4 linktr.ee/pymc_labs Worldwide Joined September 2021-
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Deadlines, complex models, new approaches... even strong teams hit roadblocks Our Expert Access Program (EAP) gives access to #PyMC and #Bayesian experts like Niall Oulton to solve tricky models, validate approaches, and strengthen your team. Learn more: dub.link/0wtmrRX
𝐎𝐩𝐞𝐧 𝐬𝐨𝐮𝐫𝐜𝐞 𝐠𝐫𝐨𝐰𝐬 𝐟𝐚𝐬𝐭𝐞𝐫 𝐰𝐡𝐞𝐧 𝐰𝐞 𝐛𝐮𝐢𝐥𝐝 𝐭𝐨𝐠𝐞𝐭𝐡𝐞𝐫. Join Rob Zinkov at @pydataamsterdam 10th Anniversary on Sep 26, 1:20 PM for a beginner-friendly #PyMC sprint. Learn, contribute, and connect with the community! #PyTensor
Last week we published the most comprehensive #PyMC-Marketing vs. #Meridian benchmark to date. On Oct 1, join our 𝐥𝐢𝐯𝐞 𝐰𝐞𝐛𝐢𝐧𝐚𝐫 to go deeper into the findings & their impact on #MMM. 🗓️ Register: dub.link/yuP0beh 👉Check the Benchmark: dub.link/XleG1eA
When learning #Bayesian modeling, great teaching 𝑎𝑛𝑑 great resources matter. Hear from Bartłomiej, a workshop alum, on how the Applied Bayesian Modeling Workshop gave him practical tools to keep using. 𝐍𝐞𝐱𝐭 𝐰𝐨𝐫𝐤𝐬𝐡𝐨𝐩: 𝐎𝐜𝐭 𝟔 → dub.link/9gJIDdL
Most ML models predict, but don’t show how certain those predictions are. #Bayesian methods with #PyMC change that. Tonight in Montreal, Christopher Fonnesbeck will show how to model uncertainty with practical workflows + live coding. 🔗 dub.link/YoRz04P
Session 2 of our #PyTensor workshop dives into 𝐆𝐫𝐚𝐩𝐡 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧𝐬! Learn eager vs. lazy transformations, autodiff under the hood, and Normalizing Flows. Watch the full session here dub.link/CR3WDRf #PyMC #ML
𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐁𝐚𝐲𝐞𝐬𝐢𝐚𝐧 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 𝐨𝐧 𝐲𝐨𝐮𝐫 𝐨𝐰𝐧 𝐜𝐚𝐧 𝐛𝐞 𝐬𝐥𝐨𝐰. Hear how Leonardo leveled up in the Applied Bayesian Modeling Workshop. Next cohort starting Oct 6: dub.link/XvOzGAq #BayesianModeling #PyMC #MCMC
We just dropped the most comprehensive #PyMC-Marketing vs. #Meridian 𝐐𝐮𝐚𝐧𝐭𝐢𝐭𝐚𝐭𝐢𝐯𝐞 𝐂𝐨𝐦𝐩𝐚𝐫𝐢𝐬𝐨𝐧 ever conducted! Check out our findings & code 👇👇 dub.link/XleG1eA #MMM #MarketingMixModel #PyMCMarketing #Meridian
Behind every #PyMC model is #PyTensor — a computational graph library for speed, flexibility & autodiff. Session 1 of our PyTensor Workshop is live 🎥 👉 dub.link/pytensor-graphs #PyMC #Python #MachineLearning
Most data scientists model. Few master uncertainty. Join our Oct 6 Applied #Bayesian Modeling Workshop & level up. 👉dub.link/QWC7F2N
PyMC-Marketing 0.16.0 is live! Sensitivity analysis, #Fivetran loaders & more. Available now on GitHub 👉 dub.link/PfbyKtk #Bayesian #MMM #PyMC
Stop waiting weeks for modeling answers! Our new Expert Access Program (EAP) gives your team direct access to our #Bayesian and #PyMC experts for timely answers, guidance, and confidence to move faster. Learn more👉 dub.link/BAbeiyf
🤝 Announcing PyMC Labs x @fivetran Partnership: Marketing Mix Models in minutes, not weeks Data prep was the biggest #MMM bottleneck. We solved it. ✓ Direct integration with Fivetran ad_reporting ✓ Production-grade Bayesian MMMs instantly 👉dub.link/IY3PR76
Our Applied #Bayesian Modeling Workshop - October cohort is now open! After incredible feedback from August, we're running it again, starting Oct 6th. Learn directly from the creators of #PyMC in 4 weeks of hands-on training! Register before spots fill: dub.link/QWC7F2N
Enlightened monks. Crying babies. Data scientists 👀All bound by the same trauma: p-values The too-high one The model that made no sense The sketchy dataset you used anyway Bayes won’t absolve you, but it will help you understand 👇Step into the Bayesian Booth. Confess #bayes
Time series models work beautifully on textbook data. Real data? Not so much. State Space Models are built for the messiness of production data from day one. Learn to build them with @alex_andorra and Jesse Grabowski at @pydataberlin 2025 📈 Sept 1st | Room B09 | 10:40 AM
We're excited to announce the launch of our Expert Access Program (EAP) Get direct access to #PyMC experts for guidance, validation, & problem-solving without adding headcount! dub.link/TqmSFiC
Market share predictions fail when models ignore how markets really work. At @pydataberlin , @forde_nathaniel shows how PyMC Marketing’s new Consumer Choice module uses Bayesian models for realistic substitution. 🗓️ Sept 1, 4:20 PM | 📍 Room B05-B06 #BayesianStats #PyMC
Most budget planning is just expensive guessing 🎯 @cetagostini tackles this in "Risk Budget Optimization for Causal Mix Models" @pydataberlin 2025! 📅 Sept 1st, 5:00-5:30 PM Turn uncertainty into strategic advantage. #PyDataBerlin #BudgetOptimization #PyMC
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