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Thursday, June 27 • 1:30pm - 2:20pm
DA3: How to Optimize Physical Assets with Machine Learning

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Using a real-world case study from the oil & gas industry, this session dives deep into applying Machine Learning to sensor time series data to demonstrate how to sample a time series dataset to generate training and validation datasets, parallelize compute intensive feature creation to handle the volume and velocity of sensor data, apply classic ML techniques, and the results of the case study.

avatar for Rajendra Koppula

Rajendra Koppula

Director of Machine Learning, Manifold
Rajendra Koppula is Director of Machine Learning at Manifold, an artificial intelligence engineering services firm with offices in Boston and Silicon Valley. He has experience in IoT data analytics, computer vision, and customer-centric analytics in retail. Prior to Manifold, he spent... Read More →

Thursday June 27, 2019 1:30pm - 2:20pm PDT
Meeting Room 212AB