Stop 12 · Model Deployment & MLOpsTopics · 7/8
A/B Testing Deployed Models
Part of the Data Science Roadmap
In short
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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