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DDD for Machine Learning

21a532a137b506128914478ac521fc8b?s=47 Michael Plöd
February 05, 2021

DDD for Machine Learning

This is a presentation from my colleague Dr. Larysa Visengeriyeva. This slide deck was the base for our workshop at DDD Europe

21a532a137b506128914478ac521fc8b?s=128

Michael Plöd

February 05, 2021
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Transcript

  1. Dr. Larysa Visengeriyeva Machine Learning Use Cases with DDD and

    ML Design Canvas
  2. What kind of problems?

  3. What kind of problems?

  4. ML Use Cases Dimensions

  5. When?

  6. How?

  7. Knowledge Crunching Event Storming For Finding AI Opportunities

  8. Event Storming + ML Canvas

  9. None
  10. Finding Pain Points: Candidates for ML-Use Cases? ( 0DLOb HQWKLHOWb

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  11. Using Domains For Prioritization

  12. How to Structure ML Projects

  13. Structuring ML Projects

  14. Structuring ML Projects

  15. Value Propositions

  16. ML Task (Start with a heuristic)

  17. Data Sources

  18. Features

  19. Offline Evaluation

  20. Decisions

  21. Making Predictions

  22. Collecting Data

  23. Building Models

  24. Live Evaluation and Monitoring

  25. None