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Alexander Gray

Alexander Gray
CEO, Skytree, Inc.

Website | @skytreeHQ

Dr. Gray obtained degrees in Applied Mathematics and Computer Science from Berkeley and a PhD in Computer Science from Carnegie Mellon, and is an Associate Professor at Georgia Tech and CTO of Skytree, Inc. His research focuses on scaling up all of the major practical methods of machine learning (ML) to massive datasets. He began working on this problem at NASA in 1993 (long before the current fashionable talk of “big data”). His large-scale algorithms helped enable the Top Scientific Breakthrough of 2003, and have won a number of research awards. He served on the National Academy of Sciences Committee on the Analysis of Massive Data and frequently gives invited tutorial lectures on massive-scale ML at top research conferences and agencies.

Sessions

Hardcore Data Science
Ballroom AB
Alexander Gray (Skytree, Inc.)
Average rating: ***..
(3.08, 12 ratings)
How do you get to high-performance machine learning, achieving truly best-in-class results vs. the competitors in your application? For example, how do the most advanced organizations achieve ultra-high detection rates at scale in critical applications? We'll outline the elements needed, including choices in cluster designs, data layout and prep, ML methods, and computation, with real examples. Read more.
Office Hour
Table C
Alexander Gray (Skytree, Inc.), Leland Wilkinson (Skytree)
Do you want to achieve best-in-class results with high-performance learning in your application? Join Alexander and Leland to find out how to do just that, and to discuss: Read more.