Optimizing DoorDash’s Marketing Spend with Machine Learning
Learn how we utilized cost curves to automate our marketing campaigns at scale
Data Science & Machine Learning
Enabling Efficient Machine Learning Model Serving by Minimizing Network Overheads with gRPC
Learn the challenges of reducing network overheads with gRPC optimizations
Meet Sibyl – DoorDash’s New Prediction Service – Learn about its Ideation, Implementation and Rollout
Learn how building a prediction service enables the utilization of ML models based on real-time data
Improving Experimental Power through Control Using Predictions as Covariate (CUPAC)
Too much varience can reducing experimental power. Learn how we solved this problem with our new CUPAC method