Machine Learning for the 99%

Machine Learning for the 99%

Open Data Science via YouTube Direct link

When to Stop

17 of 35

17 of 35

When to Stop

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Classroom Contents

Machine Learning for the 99%

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  1. 1 Introduction
  2. 2 State of AI
  3. 3 Cost of Training
  4. 4 Talent Shortage
  5. 5 Investments
  6. 6 AI Investments
  7. 7 Summary
  8. 8 Machine Learning Maturity
  9. 9 Machine Learning Product
  10. 10 Culture Data Infrastructure
  11. 11 Tech Unicorns
  12. 12 Culture
  13. 13 Training vs Reality
  14. 14 The Fine Step
  15. 15 Do You Need Machine Learning
  16. 16 The Production Problem
  17. 17 When to Stop
  18. 18 Stay Up to Date
  19. 19 Team Sport
  20. 20 Ethical ML
  21. 21 Example
  22. 22 Ethical AI
  23. 23 Responsible AI
  24. 24 Data Centric
  25. 25 Good Data Set
  26. 26 DataCentric Approach
  27. 27 Model Diagnostic
  28. 28 Active Learning
  29. 29 Improvement
  30. 30 Infrastructure
  31. 31 Enemies
  32. 32 Infrastructure Match Readiness
  33. 33 Development Production Tension
  34. 34 Recap
  35. 35 Resources

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