Maximum Relevance and Minimum Redundancy Feature Selection Methods for a Marketing Machine Learning Platform

2 code implementations • 15 Aug 2019 • Zhenyu Zhao, Radhika Anand, Mallory Wang

This paper describes the approach to extend, evaluate, and implement the mRMR feature selection methods for classification problem in a marketing machine learning platform at Uber that automates creation and deployment of targeting and personalization models at scale.

BIG-bench Machine Learning feature selection +1