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

Kapil Chhabra
Senior Product Manager, Amazon Web Services

Website

Kapil Chhabra is a senior product manager at Amazon Web Services, focusing on real-time machine learning on high-volume and high-velocity data. He also runs the streaming data ingestion business at AWS, Kinesis Data Firehose. Previously, he led the analytics business at Akamai Technologies and launched and scaled multiple new products, including real-time video monitoring services (Media Analytics and QoS Monitor) and the award-winning broadcast operations as a service (BOCC).

Sessions

2:05pm–2:45pm Wednesday, 09/12/2018
Continuous machine learning over streaming data: The story continues.
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.