A/B Testing Patterns for Machine Learning Models
Designing and running A/B tests for ML model changes. Traffic splitting, metric selection, statistical rigor, and common pitfalls.
Designing and running A/B tests for ML model changes. Traffic splitting, metric selection, statistical rigor, and common pitfalls.