The New DBification of ML-AI

The New DBification of ML-AI

The University of Melbourne via YouTube Direct link

Introduction

1 of 26

1 of 26

Introduction

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Classroom Contents

The New DBification of ML-AI

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  1. 1 Introduction
  2. 2 Golden Age of MLAI
  3. 3 democratize MLAI
  4. 4 my work
  5. 5 Outline
  6. 6 ML Concerns
  7. 7 Platforming ML
  8. 8 Challenges
  9. 9 My Research
  10. 10 Running Deep Learning
  11. 11 Project Cerebro
  12. 12 Model Selection
  13. 13 Data Size
  14. 14 Model Hopper
  15. 15 Cerebro adoption
  16. 16 Data preparation
  17. 17 Schema Inference
  18. 18 Type Inference
  19. 19 The Dubification of ML
  20. 20 Challenges in ML
  21. 21 How to do ML research
  22. 22 Courses
  23. 23 Conferences
  24. 24 Collaboration
  25. 25 Conclusion
  26. 26 Wrap up

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