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Hardcore Data Science

Monday, October 28
Gramercy Suite
9:00am - 5:00pm

Data science is a hot topic, but much of it is simply Business Intelligence in a new mantle. In this track, we push the envelope of data science, exploring emerging topics and new areas of study made possible by vast troves of raw data and cutting-edge architectures for analyzing and exploring information. We'll cover topics such as machine learning, natural language parsing, crowdsourcing and algorithm design.

Who should attend

Data scientists, statisticians, data modellers, and analysts with a strong understanding of data science fundamentals, will find themselves at home in this tutorial, as will CTOs, Chief Scientists, and academic researchers.

Track Hosts

Ben Lorica is the Senior Analyst in the Market Research Group at O'Reilly Media, Inc.. He has applied Business Intelligence, Data Mining and Statistical Analysis in a variety of settings including Direct Marketing, Consumer and Market Research, Targeted Advertising, Text Mining, and Financial Engineering. His background includes stints with an investment management company, internet startups, and financial services. At O'Reilly, Ben works on custom research and consulting projects, open source data warehousing and analytics.

Lynn Cherny has a Ph.D. from Stanford and an M.Phil. from Cambridge University. She has 19 years of experience managing and doing interface design and data analysis at companies including TiVo, Excite, Adobe, The MathWorks, and AT&T Labs. Her consulting work now focuses on data analysis and visualization.

Schedule

Sponsors

Sponsorship Opportunities

For exhibition and sponsorship opportunities, contact Susan Stewart at sstewart@oreilly.com

Media Partner Opportunities

For information on trade opportunities with O'Reilly conferences email mediapartners
@oreilly.com

Press & Media

For media-related inquiries, contact Maureen Jennings at maureen@oreilly.com

Contact Us

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