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Fokko Driesprong , Rob Zinkov – machine learning engineer and data scientist

Also this year, at our 10 year anniversary edition of PyData Amsterdam, we’ll host open source sprints! ️ Our open source sprints this year will be 2 sessions in parallel, with leading open source contributors Fokko Driesprong and Rob Zinkov of the respective packages PyIceberg and PyMC.

PyData Amsterdam 2025
Rob Zinkov – guest

We talked about:

Rob’s background Going from software engineering to Bayesian modeling Frequentist vs Bayesian modeling approach About integrals Probabilistic programming and samplers MCMC and Hakaru Language vs library Encoding dependencies and relationships into a model Stan, HMC (Hamiltonian Monte Carlo) , and NUTS Sources for learning about Bayesian modeling Reaching out to Rob

Links:

Book 1: https://bayesiancomputationbook.com/welcome.html Book/Course: https://xcelab.net/rm/statistical-rethinking/

Free ML Engineering course: http://mlzoomcamp.com Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html

AI/ML C#/.NET HTML Monte Carlo
DataTalks.Club
Rob Zinkov – machine learning engineer and data scientist

Outline: The Bayesian framework; Probabilistic programming; Creating scientific software packages; PyMC.

the bayesian framework probabilistic programming creating scientific software packages pymc
Bayesian Modeling and Probabilistic Programming
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