An AI Engineer Technical Guide to Feature Store with FEAST

An AI Engineer Technical Guide to Feature Store with FEAST

Prodramp via YouTube Direct link

Content Review

20 of 23

20 of 23

Content Review

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An AI Engineer Technical Guide to Feature Store with FEAST

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  1. 1 Video Start
  2. 2 Feature Store content intro
  3. 3 Feature Store - What is it, and how it helps?
  4. 4 Feature store - Details
  5. 5 Google Feature Store - Vertex
  6. 6 DataBricks Feature Store
  7. 7 Tecton Feature Store - FEAST
  8. 8 Feature Store Definition
  9. 9 Jupyter Notebook: Feast Installation/Init
  10. 10 Understanding Source Data
  11. 11 Setting Feature Store - Creating registry catalog and online store
  12. 12 Feast Architecture Review after hands-on example
  13. 13 Online store sqlite review
  14. 14 Transforming the feature values from source data
  15. 15 Understanding Online and offline store
  16. 16 Features added to online store validation
  17. 17 Machine Learning with online features
  18. 18 Saving Model
  19. 19 Using historical data and saved model to score
  20. 20 Content Review
  21. 21 GitHub review to Jupyter Notebook
  22. 22 Plans to use Postgresql in place of sqllite as online store
  23. 23 Credits

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