Presented By O'Reilly and Cloudera
Make Data Work
March 28–29, 2016: Training
March 29–31, 2016: Conference
San Jose, CA
Alexander Gray

Alexander Gray
CEO, Skytree, Inc.

Website | @skytreeHQ

Alexander Gray is an associate professor at Georgia Tech and the CEO of Skytree, Inc. His research focuses on scaling up all of the major practical methods of machine learning (ML) to massive datasets. Alex 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.

Alex 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. Alexander has degrees in applied mathematics and computer science from UC Berkeley and a PhD in computer science from Carnegie Mellon.


2:00pm–2:30pm Tuesday, 03/29/2016
Hardcore Data Science
Location: 210 C/G
Tags: geospatial
Alexander Gray (Skytree, Inc.)
Average rating: ***..
(3.67, 12 ratings)
Alex Gray presents a novel approach to score and detect anomalies in large-scale data based on probabilistic machine-learning models. Alex focuses on unsupervised learning and uses a real-world use case—finding outliers in geospatial behavior—to demonstrate how an outlier detection framework can be applied to find anomalies in a dataset with millions of instances. Read more.