
ML Model Consumption Dilemmas: Part 1
Tuning Partner Preferences At times, pragmatically consuming ML models gets more challenging than the training process itself. In this series, we will discuss some of the unique problems we encountered in consuming our models and how we tackled those problems at Shaadi.com. In this part, we would look at a classic tuning issue on our…

Ghost in the AB Framework!
The history effect induces a bias in an AB Framework Unlike lab tests, AB tests are not run in isolation and hence are prone to be affected by external events. With the orthogonal splits in our new AB framework we have largely ensured that any external event has equal effect on both control (A) and…