Data Experimentation Insights
Susan and Auren discuss the importance of long-term experiments in data analysis, using Facebook's example of a holdout set. They emphasize the value of setting up experiments before revenue generation to avoid the challenge of retracting metrics once established.In this clip
From this podcast
World of DaaS
Susan Athey: Tech Economists, Machine Learning, and Causation
Related Questions
How does experimentation lead to success in the episode Susan Athey on Machine Learning, Big Data, and Causation and the clip Data-Driven Decisions?
What is the importance of rigorous research in the context of the episode Susan Athey on Machine Learning, Big Data, and Causation and the clip Data-Driven Decisions?