CI-CD for Machine Learning

CI-CD for Machine Learning

Open Data Science via YouTube Direct link

TwoStep Workflow

9 of 37

9 of 37

TwoStep Workflow

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Classroom Contents

CI-CD for Machine Learning

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  1. 1 Introduction
  2. 2 Agenda
  3. 3 Common Problems
  4. 4 Assumptions
  5. 5 What is CML
  6. 6 Getting started with CML
  7. 7 Example report
  8. 8 CML Runner
  9. 9 TwoStep Workflow
  10. 10 Do we need reports
  11. 11 CICD workflow
  12. 12 Live demo
  13. 13 Training script
  14. 14 CI configuration
  15. 15 Change hyper parameters
  16. 16 Commit changes
  17. 17 Neural style transfer
  18. 18 CI script
  19. 19 Change style image
  20. 20 Pipelines
  21. 21 GPU
  22. 22 QA
  23. 23 Automation
  24. 24 Is automation important
  25. 25 Can we follow standard practices without CML
  26. 26 How do you configure AWS resources
  27. 27 What if I submit multiple changes near each other
  28. 28 Streaming data
  29. 29 Running notebooks
  30. 30 CloudSpot
  31. 31 Installing CML
  32. 32 CML vs ML Flow
  33. 33 Docker Image
  34. 34 Mobile ML
  35. 35 DVC vs ML Flow
  36. 36 Preventing Emergence
  37. 37 CML vs Terraform

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