Case Study - Making the Most out of a Doomed Project

Case Study - Making the Most out of a Doomed Project

MLCon | Machine Learning Conference via YouTube Direct link

Conclusions

25 of 25

25 of 25

Conclusions

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Case Study - Making the Most out of a Doomed Project

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  1. 1 Introduction
  2. 2 Weaknesses in ML projects
  3. 3 Wrong expectations
  4. 4 Should you participate
  5. 5 My experience
  6. 6 A good reputation
  7. 7 Challenges
  8. 8 Why we took this project
  9. 9 The modified metric
  10. 10 The final goal
  11. 11 The plan
  12. 12 The data
  13. 13 Tables
  14. 14 Data Loss
  15. 15 Contacting EF
  16. 16 Distribution Issues
  17. 17 Data Recovery
  18. 18 Results
  19. 19 Why
  20. 20 Success
  21. 21 If something is wrong
  22. 22 The best field
  23. 23 Plan
  24. 24 Final Report
  25. 25 Conclusions

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