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Data is oxygen for ML

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Dima Boyko, prezentacja z AImeetup #3, 8.12.2016

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Data is oxygen for ML

  1. 1. Data is oxygen for ML Cracow, 8th December 2016
  2. 2. Hello, I’m Dima Boyko Dima Boyko Rails developer, Python developer, Data Scientist Software engineer @inFakt dima.boyko@infakt.pl /dimaboyko
  3. 3. What computer can do better than human? What human can do better than computer?
  4. 4. What computer can do better than human? + What human can do better than computer?
  5. 5. ” Field of study that gives computers the ability to learn without being explicitly programmed 1959, Arthur Samuel What computer can do better than human? + What human can do better than computer? Machine learning
  6. 6. Machine learning is not the future
  7. 7. Machine learning ALVIN YouTube https://youtu.be/ilP4aPDTBPE?t=39 1992 !
  8. 8. Machine learning
  9. 9. Boost ML can boost existing products by improving quality and usability of some modules Unlock Using ML can unlock new product use-cases Machine learning
  10. 10. Drawbacks? Machine learning
  11. 11. Drawbacks? Machine learning WOW / WTF ratio
  12. 12. Data Algorithm Insight Usage model Machine learning
  13. 13. Data Usage model Machine learning
  14. 14. Data
  15. 15. Using of data
  16. 16. Using of data Red Roof Inn
  17. 17. Using of data 2 to 3% of flights were canceled Red Roof Inn
  18. 18. Using of data 500 daily Red Roof Inn
  19. 19. Using of data 90 000 passengers Red Roof Inn
  20. 20. Using of data Weather data Red Roof Inn
  21. 21. Using of data 10% more revenue during season Red Roof Inn Results
  22. 22. Los Angeles Police Department Using of data
  23. 23. Historical DATA Analysis & Prediction Reaction Los Angeles Police Department Using of data
  24. 24. Los Angeles Police Department Using of data
  25. 25. Los Angeles Police Department Using of data
  26. 26. 33% Less thefts 21% Less victims Los Angeles Police Department Using of data Results
  27. 27. UPS Cargo Delivery Using of data
  28. 28. Using of data 16,9M Delivered cargos daily 195 Countries around the globe UPS Cargo Delivery
  29. 29. Orion • Mathematical model for operations research • Huge processing power in real time Using of data UPS Cargo Delivery
  30. 30. Using of data 6M Litres less fuel usage during the year 13 000 Tons of exhausts less UPS Cargo Delivery + Faster deliveries Results
  31. 31. inFakt Automated Accounting Using of data
  32. 32. ~50 000 Invoices booked monthly by accountants inFakt Automated Accounting Using of data
  33. 33. AutoAccounting Brief product history inFakt Automated Accounting Using of data
  34. 34. AutoAccounting • Data from last year • Scikit-learn • Infrastructure Classification 15% invoices 95% correct
  35. 35. AutoAccounting • Data from last year • Infrastructure Classification 55% invoices 95% correct
  36. 36. AutoAccounting Classification Keep it simple…
  37. 37. 3% Wrong Inconsistent 8/10 Human mistake AutoAccounting
  38. 38. ~70% Invoices booked automatically AutoAccounting Results
  39. 39. ~70% Invoices booked automatically 600 / month Hours saved for creative work AutoAccounting Results
  40. 40. Know your DATA!
  41. 41. Auto What’s next?
  42. 42. Auto What’s next? #worldwide #vendor_independent #simple
  43. 43. Open Source ? What’s next? /OpenAutoX
  44. 44. Thanks! Any questions? Dima Boyko Software engineer @ inFakt dima.boyko@infakt.pl /dimaboyko

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