Published on May 14, 2018 by newcircle

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.

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1 Comment on "When Do You Use Machine Learning vs. a Rules Based System?"

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3 months 2 days ago

Coinbase's engineering is crap. I got buys/sells turned off on my account and then they banned me from the system when I repeatedly contacted customer support. I'd avoid putting any money in a Coinbase account – you never know what they're going to do to it, and they have zero customer support.