Books/Designing Machine Learning Systems

Choosing metrics
- Always start with the business problem first
Choosing loss functions
- Decouple multiple objectives and recombine them to make it easier to maintain/develop models
Data vs Mind
- Data stages
  - Collect / store / transform / aggregate / learn
    
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See also ML Ops