Skytree – Choosing The Right Machine Learning Methods

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In the webinar we cover pragmatic ways to select the right machine learning/advanced analytics methods for processing big data.

We'll discuss:

  • Tradeoffs between accuracy, speed, and simplicity
  • Approaches to classification, regression, density estimation, dimension reduction, clustering, and multidimensional querying
  • How to manage the tradeoffs for each type of task


Alexander Gray

Dr. Alexander GrayCTO & Co-Founder at Skytree

Dr. Gray is CTO at Skytree and Associate Professor in the College of Computing at Georgia Tech. His work has focused on algorithmic techniques for making machine learning tractable on massive datasets. He began working with large-scale scientific data in 1993 at NASA’s Jet Propulsion Laboratory in its Machine Learning Systems Group. He recently served on the National Academy of Sciences Committee on the Analysis of Massive Data, as a Kavli Scholar, and a Berkeley Simons Fellow, and is a frequent advisor and speaker on the topic of machine learning on big data in academia, science, and industry.

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