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. Data is oxygen for ML Cracow, 8th December 2016
- 2. Hello, I’m Dima Boyko Dima Boyko Rails developer, Python developer, Data Scientist Software engineer @inFakt dima.boyko@infakt.pl /dimaboyko
- 3. What computer can do better than human? What human can do better than computer?
- 4. What computer can do better than human? + What human can do better than computer?
- 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. Machine learning is not the future
- 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
- 11. Drawbacks? Machine learning WOW / WTF ratio
- 12. Data Algorithm Insight Usage model Machine learning
- 14. Data
- 15. Using of data
- 16. Using of data Red Roof Inn
- 17. Using of data 2 to 3% of flights were canceled Red Roof Inn
- 18. Using of data 500 daily Red Roof Inn
- 19. Using of data 90 000 passengers Red Roof Inn
- 20. Using of data Weather data Red Roof Inn
- 21. Using of data 10% more revenue during season Red Roof Inn Results
- 22. Los Angeles Police Department Using of data
- 23. Historical DATA Analysis & Prediction Reaction Los Angeles Police Department Using of data
- 24. Los Angeles Police Department Using of data
- 25. Los Angeles Police Department Using of data
- 26. 33% Less thefts 21% Less victims Los Angeles Police Department Using of data Results
- 27. UPS Cargo Delivery Using of data
- 28. Using of data 16,9M Delivered cargos daily 195 Countries around the globe UPS Cargo Delivery
- 29. Orion • Mathematical model for operations research • Huge processing power in real time Using of data UPS Cargo Delivery
- 30. Using of data 6M Litres less fuel usage during the year 13 000 Tons of exhausts less UPS Cargo Delivery + Faster deliveries Results
- 32. ~50 000 Invoices booked monthly by accountants inFakt Automated Accounting Using of data
- 33. AutoAccounting Brief product history inFakt Automated Accounting Using of data
- 34. AutoAccounting • Data from last year • Scikit-learn • Infrastructure Classification 15% invoices 95% correct
- 35. AutoAccounting • Data from last year • Infrastructure Classification 55% invoices 95% correct
- 40. ~70% Invoices booked automatically 600 / month Hours saved for creative work AutoAccounting Results
- 41. Know your DATA!
- 43. Auto What’s next? #worldwide #vendor_independent #simple
- 44. Open Source ? What’s next? /OpenAutoX
- 45. Thanks! Any questions? Dima Boyko Software engineer @ inFakt dima.boyko@infakt.pl /dimaboyko