How Uber uses machine learning to achieve hyper-growth in sales.

How do we extract meaningful information from (potential) clients' data to drive personalized marketing strategies that improve client acquisition/revenue by an order of magnitude?

How do they make sense of all this information?

Application

Problem

Solution: mRMR

mRMR: Maximum Relevance & Minimum Redundancy

This formulation is highly intuitive as we’re taking the ratio of information captured by the marginal predictor Xi to some proxy of information captured by the rest of the set |S|.

Empirical Findings

Production Implementation

Conclusion

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