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Thursday, May 30
Data Science Techologies
Shared Infrastructure for Data Science
Thu, May 30, 4:00 PM - 5:35 PM
Regency Ballroom AB

Bayesian Structured Time Series in TensorFlow Probability (306328)

*Jacob Burnim, Google 

Keywords: Time Series, Probabilistic Programming, TensorFlow, Deep Learning, Domain Knowledge

TensorFlow Probability is a Python library built on TensorFlow that makes it easy to combine probabilistic models and deep learning on modern hardware. It's for data scientists, statisticians, ML researchers, and practitioners who want to encode domain knowledge to understand data and make predictions. In this talk, I'll introduce TensorFlow Probability, give a brief overview of its features, then do a deep dive into our Bayesian Structured Time Series toolkit.