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A thank you to everyone who makes this possible: Read More Probabilistic Programming and Bayesian Inference from Python; SciPy 2013 Presentation


Authors: Zinkov, Rob

Track: Machine Learning is a wrapper around Microsoft Research's Infer.NET inference engine. allows you to represent complex graphical models in terms of short pieces of code. In this talk, I will show how many popular machine learning algorithms can be modeled as short probabilistic programs and then simply trained. I will then show how to introspect on the models which were learned and debug these programs when they don't produce desired results.


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