1. 5Preferred Infrastructure

2. ! ! ! ! Gunosy! ! ! ! ! 3. ! ! Twitter: @sla! ! ! ! IBM! ! ! PFI! Jubatus! 3 4. 5. MLCT 6. 7. 8. ! ! ! ! ! ! ! ! 9. 9! ! ! FAQ! ! 2! 4! ROI! ! ! ! 10. ! ! ! PRML! ! ! Tkyo.RR! ! ! 10 11. 5! ! ! KPI! Minimum Viable Experiment! 12. (3) KPI! KPI : Key Performance Indicator! ! ! ! ! ! ! ! KPI! KPI! KPI! KPI12 13. (3) KPIWeb! ! ! ! ! ! 13 14. (3) KPI! ! ! F-measure/G-mean! AUCArea Under ROC Curve! ! c%! c0.010.11.010 14c1c2 15. (3) KPI5! ! ! AccuracyP/RROCAUC! ! ! ! ! ! ! ! ! Accuracy? Precision? Recall?15 16. 5! ! ! KPI! Minimum Viable Experiment! 17. (1) ! ! ! ! ! ! ! ! ! ! ! ! KPI17 18. (1) ! ! ! ! ! ! ! ! 18 19. (1) ! ! ! ! ! ! ! ! 5! ! ! ! ! (3)KPI19 20. 5! ! ! KPI! Minimum Viable Experiment! 21. (2) ! NO!! ! ! NO!! ! etc! ! ! ! NO!! ! 21 22. (2) ! ! ! ! ! ! ! ! ! ! ! ! 22 23. 5! ! ! KPI! Minimum Viable Experiment! 24. (4) Minimum Viable Experiment! Minimum Viable Product (MVP)! ! ! Minimum Viable Experiment (MVE, ! ! KPI! ! ! ! ! ! PoC24 25. (4) Minimum Viable Experiment! ! ! ! ! ! ! ! ! ! ! ! ! 25KPI 26. Minimum Viable Experiment26 27. (4) Minimum Viable Experiment! ! ! One-pass! ! ! ! ! RNumPy! ! ! 3! ! 27KPI 28. 5! ! ! KPI! Minimum Viable Experiment! 29. (5) ! ! ! ! ! ! ! MVE! ! MVE! ! ! ! 29 30. (5) ! MVE! One-pass! ! ! : https://github.com/pfi/maf! ! ! ! ! ! ! KPI30KPI 31. (5) ! ! ! ! ! ! ! C4.5! SVMBoostingRandom Forest! Deep Learning! ! 3! 31 32. Machine learning that mattersKiri L. Wagstaff, ICML, 2012.! ! ! 32 33. 34. 34 35. 36. Fin.36