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Strata Conference 2013 -- Real-World Machine Learning on Big Data: Which Methods Should You Use?

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Published on May 13, 2013

Skytree's CTO and Co-Founder, Alexander Gray, PhD, was selected to present on the Data Science track at O'Reilly Strata Conference—a leading industry conference for Big Data communities to meet, exchange ideas, and learn about new strategies and technologies for discovering opportunities with their data.

Session Track:
Real-World Machine Learning on Big Data: Which Method(s) Should You Use?

Suppose you have a real-world big data problem before you, and you want to use machine learning (ML) to solve it. Which ML method(s) should you use? How does the fact that the dataset is big affect your choices? Drawing on two decades of experience in ML on big data, Alex highlights a few key principles that can be distilled from the thousands of theoretical and experimental results in the research literature surrounding such questions. These will be illustrated through a handful of real-world ML success stories, where best-in-class results were achieved, including difficult examples in medical diagnosis, direct marketing, financial services, and astronomy.

http://www.skytree.net

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