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Extinguishing the Garbage Fire of ML Testing - Improving Reliability and Quality in Machine Learning

Extinguishing the Garbage Fire of ML Testing - Improving Reliability and Quality in Machine Learning

Data Council via YouTube Direct link

Hot Take: Data Scientists should have an on call rotation

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Hot Take: Data Scientists should have an on call rotation

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Extinguishing the Garbage Fire of ML Testing - Improving Reliability and Quality in Machine Learning

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  1. 1 Intro
  2. 2 ML Testing is a garbage fire
  3. 3 Testing Probabilistic Code
  4. 4 Why Test?
  5. 5 Pursuing Reliability for Business Value
  6. 6 Pre-prod Environments
  7. 7 ML Observability
  8. 8 Production Readiness Score
  9. 9 Hot Take: Data Scientists should have an on call rotation
  10. 10 Better ML Reliability through...

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