Fraud & Risk

Kickstart Your Fraud Analytics With Open-Source Machine Learning

Soukaina Messaoudi and Istvan Szabo - cleverbridge

Presentation

cleverbridge sought to reduce manual effort in analyzing their data to identify new fraud patterns. As an alternative to a full-blown machine learning system with multiple components that would sit unused, they explored various open-source solutions. This presentation includes recommendations on how to choose a technology stack, validate the results, and tailor the setup to unique data and business needs.

Kickstart Your Fraud Analytics With Open-Source Machine Learning


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