Taking Machine Learning to Production with MLflow - New Features and Best Practices

Taking Machine Learning to Production with MLflow - New Features and Best Practices

Databricks via YouTube Direct link

Interpretability

10 of 22

10 of 22

Interpretability

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Taking Machine Learning to Production with MLflow - New Features and Best Practices

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  1. 1 Introduction
  2. 2 Building ML applications is complex
  3. 3 What are ML platforms
  4. 4 MLflow
  5. 5 Community
  6. 6 MLflow PyTorch
  7. 7 MLflow Tracking
  8. 8 Data Versioning with Delta Lake
  9. 9 Model Schema Tracking
  10. 10 Interpretability
  11. 11 Model Registry
  12. 12 Model Industry
  13. 13 Databricks Model Registry
  14. 14 Tags and Search APIs
  15. 15 Model Registry Webhooks
  16. 16 Model Registry Comments
  17. 17 GA Demo
  18. 18 Webhooks
  19. 19 Webhook Setup
  20. 20 Wrapup
  21. 21 Keynote Presentation
  22. 22 EndtoEnd Workflow

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