Meet the CLV Agent from PyMC Labs: built on Bayesian foundations to automate CLV analysis end-to-end.
Alpha access now open — limited spots.
👉Reach out at info@pymc-labs.com
Meet the CLV Agent from PyMC Labs: built on Bayesian foundations to automate CLV analysis end-to-end.
Alpha access now open — limited spots.
👉Reach out at info@pymc-labs.com
New research by #PyMC Labs & #Colgate-Palmolive shows LLMs can replicate human survey patterns with 90%+ accuracy—no fine-tuning, no panels, no bias.
Read the white paper: dub.link/ifoZHIR
#SyntheticConsumers
New research by #PyMC Labs & #Colgate-Palmolive shows LLMs can replicate human survey patterns with 90%+ accuracy—no fine-tuning, no panels, no bias.
Read the white paper: dub.link/ifoZHIR
#SyntheticConsumers
Discover custom rewrites, speed up diagonal matrix inversions 80x, and see a mini-PyMC in action - one graph powering the full Bayesian workflow.
Watch here: dub.link/WRFuYtp
#PyMC #Python #ML #DataScience
Discover custom rewrites, speed up diagonal matrix inversions 80x, and see a mini-PyMC in action - one graph powering the full Bayesian workflow.
Watch here: dub.link/WRFuYtp
#PyMC #Python #ML #DataScience
The next 𝐀𝐩𝐩𝐥𝐢𝐞𝐝 𝐁𝐚𝐲𝐞𝐬𝐢𝐚𝐧 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 from #PyMC Labs begins October 6 and registration closes this week.
Secure your spot now: dub.link/yhoQ7tF
The next 𝐀𝐩𝐩𝐥𝐢𝐞𝐝 𝐁𝐚𝐲𝐞𝐬𝐢𝐚𝐧 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 from #PyMC Labs begins October 6 and registration closes this week.
Secure your spot now: dub.link/yhoQ7tF
𝐎𝐧 𝐎𝐜𝐭 𝟏, join our 𝐥𝐢𝐯𝐞 𝐰𝐞𝐛𝐢𝐧𝐚𝐫 to go deeper into the findings & their impact on #MMM.
🗓️ Register: dub.link/rgm4PzI
👉Check the Benchmark: dub.link/CLWnkdf
𝐎𝐧 𝐎𝐜𝐭 𝟏, join our 𝐥𝐢𝐯𝐞 𝐰𝐞𝐛𝐢𝐧𝐚𝐫 to go deeper into the findings & their impact on #MMM.
🗓️ Register: dub.link/rgm4PzI
👉Check the Benchmark: dub.link/CLWnkdf
The first truly end-to-end omni-modal AI, Qwen3-Omni unifies text, image, audio, and video in a single model—no more trade-offs between modalities.
The first truly end-to-end omni-modal AI, Qwen3-Omni unifies text, image, audio, and video in a single model—no more trade-offs between modalities.
Carlos Eduardo Trujillo Agostini 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
Carlos Eduardo Trujillo Agostini 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
@juanitorduz.bsky.social will tackle this in "Scaling Probabilistic Models with Variational Inference" PyData Berlin 📅 Sept 2nd, 1:40 PM
@juanitorduz.bsky.social will tackle this in "Scaling Probabilistic Models with Variational Inference" PyData Berlin 📅 Sept 2nd, 1:40 PM
Claude, Gemini, GPT-o3, and GPT-5 reflected in their own words—then co-authored a symposium on consciousness, conflict, and ethics.
Read it here: twiecki.io/blog/2025/08...
Claude, Gemini, GPT-o3, and GPT-5 reflected in their own words—then co-authored a symposium on consciousness, conflict, and ethics.
Read it here: twiecki.io/blog/2025/08...
Set yourself apart with skills that drive deeper insight + better decisions.
Join the next Applied Bayesian Modeling Workshop by PyMC Labs. Hands-on. Practical. Real-world.
📅 Limited seats → dub.link/bayes-workshop
#PyMC
Set yourself apart with skills that drive deeper insight + better decisions.
Join the next Applied Bayesian Modeling Workshop by PyMC Labs. Hands-on. Practical. Real-world.
📅 Limited seats → dub.link/bayes-workshop
#PyMC
🎯 Meet the MMM Agent (BETA):
→ Built on PyMC-Marketing
→ Fast. Causal. Configurable.
→ Inline charts, budget scoring, MLflow built-in
💬 DM or email: mmm-agent-beta@pymc-labs.com
Read the full blog 👉 dub.link/mmm-agent-beta
#MMM #Bayesian
🎯 Meet the MMM Agent (BETA):
→ Built on PyMC-Marketing
→ Fast. Causal. Configurable.
→ Inline charts, budget scoring, MLflow built-in
💬 DM or email: mmm-agent-beta@pymc-labs.com
Read the full blog 👉 dub.link/mmm-agent-beta
#MMM #Bayesian
After this course, you won’t just build better models.
You’ll know how to explain them — to technical and non-technical stakeholders alike
🎓 Led by top PyMC experts.
📎 Register here: dub.link/68uMjpp
After this course, you won’t just build better models.
You’ll know how to explain them — to technical and non-technical stakeholders alike
🎓 Led by top PyMC experts.
📎 Register here: dub.link/68uMjpp
To start on a high, here's @fonnesbeck.bsky.social conference tutorial on Bayesian Time Series Analysis
Gain confidence in tackling real-world forecasting problems.
Subscribe on YouTube to learn when the next batch drops!
youtu.be/2cfZsTLcDV0
To start on a high, here's @fonnesbeck.bsky.social conference tutorial on Bayesian Time Series Analysis
Gain confidence in tackling real-world forecasting problems.
Subscribe on YouTube to learn when the next batch drops!
youtu.be/2cfZsTLcDV0
simonwillison.net/2025/Jun/17/...
simonwillison.net/2025/Jun/17/...
@juanitorduz.bsky.social shows how Bayesian models help:
🔹 Sparse data? Use hierarchies
🔹 Stockouts? Use censored likelihoods
🔹 Messy demand? Use priors + state spaces
Practical guide 👉 dub.sh/prob-forecas...
@juanitorduz.bsky.social shows how Bayesian models help:
🔹 Sparse data? Use hierarchies
🔹 Stockouts? Use censored likelihoods
🔹 Messy demand? Use priors + state spaces
Practical guide 👉 dub.sh/prob-forecas...
My talk on Causal Inference with @pymc-labs.bsky.social CausalPy package is here. Can we trust individual IV designs. What's the role of CI in industry?
Recording: youtu.be/-C4p4b2cUp8?...
Deck: nathanielf.github.io/talks/pycon_...
My talk on Causal Inference with @pymc-labs.bsky.social CausalPy package is here. Can we trust individual IV designs. What's the role of CI in industry?
Recording: youtu.be/-C4p4b2cUp8?...
Deck: nathanielf.github.io/talks/pycon_...
@alex-andorra.bsky.social & Luke Bornn dive into how tracking data, probabilistic models & optimization are reshaping sports decisions.
🎧 Listen now: learnbayesstats.com/episode/131-...
#Datascience #Optimization #SportsAnalytics #BayesStats
#Decisionmaking
@alex-andorra.bsky.social & Luke Bornn dive into how tracking data, probabilistic models & optimization are reshaping sports decisions.
🎧 Listen now: learnbayesstats.com/episode/131-...
#Datascience #Optimization #SportsAnalytics #BayesStats
#Decisionmaking
It handles:
📦 High-dimensional embeddings (e.g. search queries, ad creatives)
👀 Attention-based temporal modeling
🔗 Direct + indirect attribution paths (e.g. YouTube → Search → Sales)
📄 dub.sh/arxiv-paper-...
#MMM #AI #DataScience
It handles:
📦 High-dimensional embeddings (e.g. search queries, ad creatives)
👀 Attention-based temporal modeling
🔗 Direct + indirect attribution paths (e.g. YouTube → Search → Sales)
📄 dub.sh/arxiv-paper-...
#MMM #AI #DataScience
The recording of my @pydata.bsky.social 2024 talk is up!
Learn about causal inference, illustrated with an interesting demand estimation business problem.
youtu.be/ajLPA34upQY?...
The recording of my @pydata.bsky.social 2024 talk is up!
Learn about causal inference, illustrated with an interesting demand estimation business problem.
youtu.be/ajLPA34upQY?...
discourse.pymc.io/t/introducin...
discourse.pymc.io/t/introducin...
We tested GPT-4o, Claude 3, Gemini, and others on actual survey data (GSS-style). Some were shockingly human-like, others flopped
📊 Full results + methods → dub.link/synth-consum...
🤝 Exploring synthetic consumers? Let’s chat: info@pymc-labs.com
We tested GPT-4o, Claude 3, Gemini, and others on actual survey data (GSS-style). Some were shockingly human-like, others flopped
📊 Full results + methods → dub.link/synth-consum...
🤝 Exploring synthetic consumers? Let’s chat: info@pymc-labs.com
False comfort that AI doesn’t work or that it isn’t getting better is pervasive on Blue Sky. As a result, people who could add important points of view to current discussions on the meaning & use of AI instead try to believe they don’t have to think about it.
There are many issues with AI & many things that need critique, but pretending it is going away is not helpful.
Law students using o1-preview had the quality of work on most tasks increase (up to 28%) & time savings of 12-28%
There were a few hallucinations, but a RAG-based AI with access to legal material reduced those to human level
False comfort that AI doesn’t work or that it isn’t getting better is pervasive on Blue Sky. As a result, people who could add important points of view to current discussions on the meaning & use of AI instead try to believe they don’t have to think about it.