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Rob Zinkov

Rob Zinkov's DataTalks.Club podcast discussions, organized for topic exploration.

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Rob Zinkov

Background

Rob Zinkov is a 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.

Podcast Discussions

Bayesian Modeling: PyMC, Stan and Probabilistic Programming Workflows. Discussed: Episode Introduction & Topic Overview; Guest Introduction: Rob Zinkov and the Hakaru probabilistic programming project; Career Journey: From software engineering to machine learning research; Industry vs Academia: Applying Bayesian tools in real problems. Related topics: probabilistic programming, bayesian statistics, machine learning, tools.