How Yelp built a back testing engine for safer, smarter ad budget allocation
A Yelp applied scientist explains a backtesting engine that simulates ad budget allocation changes on historical data before costly A/B tests, using git submodules for production-exact code, SigOpt optimization, and ML models predicting what-if outcomes.