Street Fighting Data Science

A session at Strata 2012

Wednesday 29th February, 2012

11:30am to 12:10pm (PST)

Practical problem solving with data involves more than just visualization or applying the latest machine learning techniques. Intuition, domain knowledge, and reasonable approximations can mean the difference between a successful model and a catastrophic failure. We’ll dive into some best practices I’ve extracted from solving real world problems like computing trending topics, finding related searches, cleaning election data, and ranking experts on social networks.

New analysts or engineers are often lost when textbook approaches fail on real world data. Drawing inspiration from problem solving techniques in mathematics and physics, we will walk through examples that illustrate how come up with creative solutions and solve problems with big data.

  • Creating Models
  • Sampling & Approximation
  • Finding Edge Cases
  • Testing Extremes
  • Working Backwards
  • Joining to External Data & Crowdsourcing
  • Turning Errors into Improvements

About the speaker

This person is speaking at this event.
Peter Skomoroch


Next session in Mission City B1

1:30pm Data Ingest, Linking and Data Integration via Automatic Code Generation by Tony Middleton

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Strata 2012

United States United States, Santa Clara

28th February to 1st March 2012

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Time 11:30am12:10pm PST

Date Wed 29th February 2012


Mission City B1, Santa Clara Convention Center

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