Experimentation is a major focus of Data Science across Netflix

摘要

Earlier posts in this series covered the basics of A/B tests (Part 1 and Part 2 ), core statistical concepts (Part 3 and Part 4), and how to build confidence in decisions based on A/B test results (Part 5). Here we describe the role of Experimentation and A/B testing within the larger Data Science and Engineering organization at Netflix, including how our platform investments support running tests at scale while enabling innovation. The subsequent and final post in this series will discuss the importance of the culture of experimentation within Netflix.

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