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5 things to consider when deploying ML into production
in Data Science by Diamond (62,422 points) | 22 views

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5 things to consider when deploying ML into production:

  1. Accuracy (Performance metric maybe another based on whats being measured)
  2. Implementation cost (Simplicity)
  3. Runtime cost (Ifrastructure requirements)
  4. Interpretability - (Transparency)  - e.g. LIME
  5. Automation Vs Augmentation?

LIME - Local Intepretable Model whereby human makes decisions.

by Diamond (62,422 points)

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