Presented By O'Reilly and Cloudera
Make Data Work
Feb 17–20, 2015 • San Jose, CA
John Myles White

John Myles White
Data Scientist, Facebook

Website

John Myles White is one of the main developers of statistical libraries for
Julia. He currently works at Facebook, where he is a member of the Core Data
Science team. John is also the author of two O’Reilly books, including
“Machine Learning for Hackers” and “Bandit Algorithms for Website
Optimization”.

Sessions

9:00am–5:00pm Wednesday, 02/18/2015
Hardcore Data Science
Location: LL20 BC
Ben Lorica (O'Reilly), Ben Recht (University of California, Berkeley), Chris Re (Stanford University | Apple), Maya Gupta (Google), Alyosha Efros (UC Berkeley), Eamonn Keogh (University of California - Riverside), John Myles White (Facebook), Fei-Fei Li (Stanford University), Tara Sainath (Google), Michael Jordan (UC Berkeley), Anima Anandkumar (UC Irvine), John Canny (UC Berkeley), David Andrzejewski (Sumo Logic)
Average rating: ****.
(4.86, 7 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.
4:00pm–4:30pm Wednesday, 02/18/2015
Hardcore Data Science
Location: LL20 BC.
John Myles White (Facebook)
Average rating: ***..
(3.67, 3 ratings)
In this talk, I'll describe the ways in which Julia improves upon the current generation of languages used for data science. Read more.