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Probabilistic Programming from Scratch
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| by Mike Lee Williams Follow 2 Followers on Sep 07, 2018 | NOTICE: The next QCon is in San Francisco Nov 5 - 9, 2018. Save an extra $100 with INFOQSF18!

Mike Lee Williams talks about real-world data, demonstrating building a lightweight probabilistic programming system from scratch with simple Python. This is trying to solve two real-data problems: an A/B test and the German Tank problem. He also explores how to solve those problems using PyMC3, a probabilistic programming system.


Mike Lee Williams is a Research engineer at Cloudera Fast Forward Labs, where he does applied research into computer science, statistics and machine learning.

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