Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Paul Spiegelhalter

Paul Spiegelhalter
Data Scientist, Pythian

Website

Paul Spiegelhalter is a data scientist and deep learning specialist at Pythian, where he’s recognized for his deep expertise in utilizing cutting-edge advances in artificial intelligence and machine learning in order to transform groundbreaking research into usable algorithms. Paul’s experience with predictive analytics and algorithmic modeling runs across a number of industries, including computer vision, predictive maintenance, online advertising and user analysis, medical diagnostics, natural language processing, and anomaly detection. He holds a PhD in mathematics from the University of Illinois at Urbana-Champaign.

Sessions

4:40pm5:20pm Thursday, March 28, 2019
Alex Gorbachev (Pythian), Paul Spiegelhalter (Pythian)
Average rating: ****.
(4.67, 3 ratings)
Alex Gorbachev and Paul Spiegelhalter use the example of a mining haul truck to explain how to map preventive maintenance needs to supervised machine learning problems, create labeled datasets, do feature engineering from sensors and alerts data, evaluate models—then convert it all to a complete AI solution on Google Cloud Platform that's integrated with existing on-premises systems. Read more.