Practical Problem Solving with Data - Onlab Data Conference, Tokyo

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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. Good problem solvers deeply analyze available data, improvise solutions using their unique assets, anticipate outcomes and issues, and adapt their techniques over time.

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Practical Problem Solving with Data - Onlab Data Conference, Tokyo

  1. 1. Practical ProblemSolving With Data Pete Skomoroch @peteskomoroch Onlab Data Conference June 22, 2012
  2. 2. To solve hard problems:
  3. 3. Think like a street fighter
  4. 4. AnalyzeImproviseAnticipateAdapt
  5. 5. How does this apply to startups?
  6. 6. Analyze
  7. 7. The Men Who Stare at Charts
  8. 8. Look at your data
  9. 9. Averages Suck12"10" 8" 6" 4" 2" 0" 1" 2" 3" 4" 5" 6" 7" 8" 9" 10"
  10. 10. Build a Viewer App
  11. 11. Algorithmic Intuition
  12. 12. Improvise
  13. 13. Extract
  14. 14. Anticipate
  15. 15. Use Your Viewer App
  16. 16. Adapt
  17. 17. Look at your errors
  18. 18. • Sanity check row counts• Track errors over time• Find patterns in the error data• Add missing features to models• Replace models entirely
  19. 19. AnalyzeImproviseAnticipateAdapt
  20. 20. Think like astreet fighter Pete Skomoroch @peteskomoroch Onlab Data Conference June 22, 2012

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