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

Sudipto Guha
Principal Scientist, Amazon Web Services

Sudipto Guha is principal scientist at Amazon Web Services, where he studies the design and implementation of a wide range of computational systems, from resource-constrained devices, such as sensors, to massively parallel and distributed systems. Using an algorithmic framework, Sudipto seeks to design systems that are correct, efficient, and optimized despite their bidirectional asymptotic scale and seeming lack of similarity to human information processes. His recent work focuses on clustering and location theory, statistics and learning theory, database query optimization and mining, approximation algorithms for stochastic control, communication complexity, and data stream algorithms.

Sessions

5:10pm–5:50pm Wednesday, March 7, 2018
Continuous machine learning over streaming data
Data science and machine learning, Streaming systems and real-time applications
 Location: LL20 A
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.