Go for Statistical Programming

This month we have Aditya Mukerjee discussing how to use Google's Go programming language for statistics.

About the talk:

While R is the language of choice for academic statisticians, data scientists sometimes use other languages and frameworks for advantages such as distributed computing, speed, and portability.  Go, a new language developed by Google, provides a convenient alternative for statistical work, with built-in concurrency features and a focus on both speed and stability. In this talk, Aditya will provide an overview of the current state of statistical programming in Go, and some basic tips for getting started.

About Aditya:

Aditya graduated from Columbia University with a degree in CS and statistics, and was a hackNY Fellow (class of 2011).  Previously, he worked on the data team at OkCupid providing research for OkTrends posts, and on the server team at foursquare, working on the foursquare Explore recommendation engine.  Currently, he serves as the Hacker-in-Residence at Quotidian Ventures. 

Pizza starts at 6:15, Aditya begins at 7 and we will head to the bar after the talk.

The big give-away this month will be a free pass to this year's Data Gotham conference so make sure to drop your business card in the bowl.