How Implementing Machine Learning Ended Up with an If-Else - Lessons from OpenShift Cluster Prediction

How Implementing Machine Learning Ended Up with an If-Else - Lessons from OpenShift Cluster Prediction

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Theories

16 of 19

16 of 19

Theories

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How Implementing Machine Learning Ended Up with an If-Else - Lessons from OpenShift Cluster Prediction

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  1. 1 Intro
  2. 2 Agenda
  3. 3 Context
  4. 4 Problem Statement
  5. 5 Typical Problem
  6. 6 Data Set
  7. 7 Moral Challenges
  8. 8 AI ML
  9. 9 Metric choice
  10. 10 Prediction
  11. 11 False positives
  12. 12 Fscore
  13. 13 Baseline
  14. 14 Iterating
  15. 15 Issues
  16. 16 Theories
  17. 17 Qualification challenges
  18. 18 Scalability
  19. 19 Questions

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