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

Why Julia's Important for Data Science

John Myles White (Facebook)
4:00pm–4:30pm Wednesday, 02/18/2015
Hardcore Data Science
Location: LL20 BC.
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Since its public release in 2012, Julia has been a source of excitement for
many in the data science world. Although the language is still a few years
away from a 1.0 release candidate, the current release already gives us a
sense of what the next generation of data science tools will look like. In
this talk, I’ll describe the ways in which Julia improves upon the current
generation of languages used for data science.

Photo of John Myles White

John Myles White

Facebook

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”.