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Make Data Work
Sept 29–Oct 1, 2015 • New York, NY

KeystoneML: Building large-scale machine learning pipelines on Apache Spark

Ben Recht (University of California, Berkeley)
12:00pm–12:30pm Tuesday, 09/29/2015
Hardcore Data Science
Location: 1 E10/1 E11 Level: Advanced
Average rating: ****.
(4.00, 9 ratings)

KeystoneML: building large-scale machine learning pipelines on Apache Spark.

Photo of Ben Recht

Ben Recht

University of California, Berkeley

Ben Recht is an associate professor in the Department of Electrical Engineering and Computer Sciences and the Department of Statistics at the University of California, Berkeley. Ben’s research focuses on scalable computational tools for large-scale data analysis, statistical signal processing, and machine learning. He explores the intersections of convex optimization, mathematical statistics, and randomized algorithms. He is particularly interested in simplifying the analysis and manipulation of noisy and incomplete data by exploiting domain-specific knowledge and prior information about structure. Ben is the recipient of an NSF Career Award, an Alfred P. Sloan Research Fellowship, and the 2012 SIAM/MOS Lagrange Prize in Continuous Optimization. He is currently on the Editorial Boards of Mathematical Programming and the Journal for Machine Learning Research.