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HomeData Engineering and Data WarehousingOptimal Feature Discovery: Better, Leaner Machine Learning Models Through Information Theory

Optimal Feature Discovery: Better, Leaner Machine Learning Models Through Information Theory

Introduction 

Suppose you own a production ML model that already works reasonably well. You know that adding relevant and diverse sources of signal to your model is a sure way to boost performance, but finding new features that actually improve

The post Optimal Feature Discovery: Better, Leaner Machine Learning Models Through Information Theory appeared first on Uber Engineering Blog.

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