Improving the Life of Data Scientists - Automating ML Lifecycle through MLflow

Improving the Life of Data Scientists - Automating ML Lifecycle through MLflow

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Provenance

16 of 17

16 of 17

Provenance

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Improving the Life of Data Scientists - Automating ML Lifecycle through MLflow

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  1. 1 Introduction
  2. 2 About Azure Systems Lab
  3. 3 Class of Systems
  4. 4 Summary
  5. 5 Insights
  6. 6 Endtoend platform
  7. 7 Demo
  8. 8 Overview
  9. 9 What is Onyx
  10. 10 Converting models to Onyx
  11. 11 Onyx Rebase Optimizer
  12. 12 Office Team Example
  13. 13 Integration with Onyx
  14. 14 Selling the Model
  15. 15 Store Models in Databases
  16. 16 Provenance
  17. 17 Future Work

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