Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
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

5:10pm5:50pm Wednesday, March 7, 2018
Secondary topics:  Graphs and Time-series
Roger Barga (Amazon Web Services), Nina Mishra (Amazon Web Services), Sudipto Guha (Amazon Web Services), Ryan Nienhuis (Amazon Web Services)
Average rating: *****
(5.00, 8 ratings)
Roger Barga, Nina Mishra, Sudipto Guha, and Ryan Nienhuis detail continuous machine learning algorithms that discover useful information in streaming data. They focus on explainable machine learning, including anomaly detection with attribution, the ability to reduce false positives through user feedback, and the detection of anomalies in directed graphs. Read more.