Progress from "What?" and "So what?" to "NOW WHAT?"

Posted by Larry Maccherone  on  Jun 13, 2015

Larry Maccherone presents his top 10 tips for using data to influence others toward better decisions.


Statistical Debugging for Real-World Performance Problems

Posted by Linhai Song, Shan Lu  on  Apr 30, 2015 2

The authors show how statistical debugging can be used for diagnosing performance problems, lowing the overhead of run-time performance diagnosis without extending the diagnosis latency.


Tracking Millions of Ganks in Near Real Time

Posted by Garrett Eardley  on  Dec 12, 2013

Garrett Eardley explores how Riot Games is using Riak for their stats system, discussing why they chose Riak, the data model and indexes, and strategies for working with eventually consistent data.


Online Controlled Experiments: Introduction, Insights, Scaling, and Humbling Statistics

Posted by Ronny Kohavi  on  Dec 12, 2013 1

Ronny Kohavi shares lessons learned, cultural and scaling challenges conducting hundreds of concurrent online controlled experiments at Bing.

Distributed Data Analysis with Hadoop and R

Posted by Jonathan Seidman and Ramesh Venkataramaiah  on  Mar 09, 2012 1

Jonathan Seidman and Ramesh Venkataramaiah present how they run R on Hadoop in order to perform distributed analysis on large data sets, including some alternatives to their solution.

Storm: Distributed and Fault-tolerant Real-time Computation

Posted by Nathan Marz  on  Oct 21, 2011 1

Nathan Marz explain Storm, a distributed fault-tolerant and real-time computational system currently used by Twitter to keep statistics on user clicks for every URL and domain.

Machine Learning: A Love Story

Posted by Hilary Mason  on  Nov 09, 2010 16

Hilary Mason presents the history of machine learning covering the most significant developments in the area, and showing how uses it to discover various statistical information about users.

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