Conference: Nov 3-5, 2014
Tutorials: Nov 1-2, 2014
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Speaker: Andrea Burbank

Search and Data Mining Engineer at Pinterest
Andrea Burbank works as a data scientist at Pinterest, where she has led A/B testing for the past two years. Prior to Pinterest, she worked as a software engineer at Bing and as a natural language scientist on ranking and relevance at Powerset, a semantic search engine acquired by Microsoft in 2008. She has a BS in physics and a BA in linguistics from Stanford University. @arburbank

Find Andrea Burbank at

https://twitter.com/arburbank
http://www.linkedin.com/in/aburbank

Talk: Too big to fail: running A/B experiments when you're betting the bank

Location:
Duration: 11:50am - 12:40pm
Track: Applied Machine Learning and Data Science

As engineers, we regularly consider running an A/B experiment for an incremental change: should this button be red or blue, 30 pixels or 50, to maximize clicks?

This talk will focus on the risks, benefits, and lessons from running a single huge experiment with hundreds of moving parts, and with long-term engagement as the metric of success.

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Covering innovative topics

Monday, 3 November

Tuesday, 4 November

Wednesday, 5 November

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