PyMC Labs
@pymc-labs.bsky.social did:plc:sa6acwi6dqjo7jxbsakcxotf
The Bayesian AI Consultancy • Using PyMC to solve your most challenging data science problems • http://pymc-labs.com
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PyMC Labs (@pymc-labs.bsky.social) ist seit 19 November 2024 auf Bluesky. Das Konto hat 1.439 Follower, folgt 2 Konten und hat 250 Posts veröffentlicht.
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Join our next Data Science Brown Bag event, where Dr. Juan Camilo Orduz, Principal Data Scientist at @pymc-labs.bsky.social, will explore how probabilistic programming helps researchers and data scientists tackle real-world causal inference challenges. 👉 www.hertie-school.org/en/datascien...
Post anzeigenLooking forward to the @causalscience.org on Nov 4th-5th. I'll be speaking about mechanism design with applications to people analytics. Hope to continue the discussion there. "Front-door identification often looks impractical because mechanism design is hard.... #causal-inference #bayesian
Post anzeigenI'm excited to learn about the opportunity to contribute to the Master Agentic Data Science program!
Post anzeigenTomorrow, 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...
Post anzeigenGreat work like Alchemize from @pymc-labs.bsky.social has illustrated that building custom kernels is a nicely shaped coding agent task with a clear validation loop. As a result, supplying your own density kernel is much easier than it sounds these days, as I discuss more in the post below.
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