When Do You Use Machine Learning vs. a Rules Based System?

Soups Ranjan provides examples of applications where machine learning makes sense and when it doesn't, and gives examples from real-world applications in the risk domain (anti-fraud, cyber security, account takeover detection).

Soups Ranjan is the Director of Data Science at Coinbase, one the largest bitcoin exchanges in the world, where he manages the Risk & Data Science team.

This video was recorded at QCon.ai 2018: https://bit.ly/2piRtLl

More videos from QCon.ai 2018 on InfoQ: https://bit.ly/2rNAT8z

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