Outline: The Bayesian framework; Probabilistic programming; Creating scientific software packages; PyMC.
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Speaker
Rob Zinkov
1
talks
machine learning engineer and data scientist
My work covers how to more efficiently specify and train deep generative models as well as how to more effectively discover a good statistical model for your data. Previously I was a research scientist at Indiana University where I was the lead developer of the Hakaru probabilistic programming language.
Bio from: PyData Amsterdam 2025
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Bayesian Modeling and Probabilistic Programming
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