Phase 12 · Model Deployment & MLOps

Topics

A/B Testing Deployed Models

Part of the Data Science Roadmap.

Summary

Rolling out a new model to a subset of traffic and comparing its real-world business impact against the current model — the ultimate validation that a model actually improves outcomes, not just offline metrics.

How to Learn This

  • 1Design an A/B test plan comparing a new model version against the current production model.
  • 2Learn why offline accuracy improvements don't always translate to better business outcomes.
  • 3Connect this back to the A/B testing statistics fundamentals from earlier phases.
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