MLflow and Azure Machine Learning - The Power Couple for ML Lifecycle Management

MLflow and Azure Machine Learning - The Power Couple for ML Lifecycle Management

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MLflow and Azure Machine Learning - The Power Couple for ML Lifecycle Management

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  1. 1 Intro
  2. 2 Why ML Lifecycle Management
  3. 3 Machine Learning Process
  4. 4 ML Flow Components
  5. 5 ML Flow Model Lifecycle
  6. 6 ML Ops
  7. 7 Demo
  8. 8 Install MLflow
  9. 9 Set MLflow API
  10. 10 Import SDKs
  11. 11 Azure Machine Learning Workspace
  12. 12 MLflow Tracking URI
  13. 13 Create Sample Application
  14. 14 Create Model Script
  15. 15 MLflow API
  16. 16 MLflow Experiments
  17. 17 MLflow Tracking Server
  18. 18 What Next
  19. 19 Build Image
  20. 20 Test Environment
  21. 21 Register Model
  22. 22 Metrics
  23. 23 Deployments
  24. 24 Governance
  25. 25 Usage Quota
  26. 26 Summary

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