Presented By O'Reilly and Cloudera
Make Data Work
Sept 29–Oct 1, 2015 • New York, NY
Ben Recht

Ben Recht
Associate Professor, 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.


9:00am–5:00pm Tuesday, 09/29/2015
Hardcore Data Science
Location: 1 E10 / 1 E11
Ben Lorica (O'Reilly Media), Reza Zadeh (Matroid | Stanford), David Blei (Columbia University), Anima Anandkumar (UC Irvine), Hussein Mehanna (Facebook), Jennifer Chayes (Microsoft Research), Ben Recht (University of California, Berkeley), Tanzeem Choudhury (Cornell and HealthRhythms), Jenn Wortman Vaughan (Microsoft Research), Adam Marcus (B12), Stefanie Jegelka (M.I.T.), Mikhail Bilenko (Microsoft), Reynold Xin (Databricks)
Average rating: ****.
(4.00, 4 ratings)
All-Day: Strata's regular data science track has great talks with real-world experience from leading edge speakers. But we didn't just stop there—we added the Hardcore Data Science day to give you a chance to go even deeper. The Hardcore day will add new techniques and technologies to your data science toolbox, shared by leading data science practitioners from startups, industry, consulting... Read more.
12:00pm–12:30pm Tuesday, 09/29/2015
Hardcore Data Science
Location: 1 E10/1 E11 Level: Advanced
Ben Recht (University of California, Berkeley)
Average rating: ****.
(4.00, 9 ratings)
KeystoneML: building large-scale machine learning pipelines on Apache Spark. Read more.