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We found that driving true business impact is amazingly hard, plus it is difficult to isolate and understand the connection between efforts on modeling and the observed impact… Our main conclusion is that an iterative, hypothesis driven process, integrated with other disciplines was fundamental to build 150 successful products enabled by machine learning.
Code + Data
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As we moved the Google Play ranking system from its previous version to TFX, we saw an increased velocity of iterating on new experiments, reduced technical debt, and improved model quality.
@abhinav on slack