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Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Roger Barga

Roger Barga
General Manager and Director of Development, Amazon Web Services

Roger Barga is general manager and director of development at Amazon Web Services, where he is responsible for Kinesis data streaming services. Previously, Roger was in the Cloud Machine Learning Group at Microsoft, where he was responsible for product management of the Azure Machine Learning service. Roger is also an affiliate professor at the University of Washington, where he is a lecturer in the Data Science and Machine Learning programs. Roger holds a PhD in computer science, has been granted over 30 patents, has published over 100 peer-reviewed technical papers and book chapters, and has authored a book on predictive analytics.

Sessions

2:05pm–2:45pm Wednesday, 09/12/2018
Location: 1A 12/14 Level: Intermediate
Secondary topics:  Retail and e-commerce, Temporal data and time-series analytics
Roger Barga (Amazon Web Services), Sudipto Guha (Amazon Web Services), Kapil Chhabra (Amazon Web Services )
Average rating: *****
(5.00, 3 ratings)
Roger Barga, Sudipto Guha, and Kapil Chhabra explain how unsupervised learning with the robust random cut forest (RRCF) algorithm enables insights into streaming data and share new applications to impute missing values, forecast future values, detect hotspots, and perform classification tasks. They also demonstrate how to implement unsupervised learning over massive data streams. Read more.