
A/B Testing with ML ft. Michael Berk - ML 181
Adventures in Machine Learning
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Navigating A/B Testing in Varied Business Environments
This chapter delves into the critical role of data collection and analysis in A/B testing, emphasizing the use of pre and post methods when statistical significance is elusive. It contrasts the agility of smaller companies with the constraints faced by larger organizations in adapting their user metrics strategies.
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