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Episode 2: How to use supervised Machine Learning to predict fraud

EPISODE · May 13, 2020 · 48 MIN

Episode 2: How to use supervised Machine Learning to predict fraud

from Shared Experiences in GRC

You don’t have to be a data scientist to create powerful machine learning models! This week on Office Hours, Dan is joined by Kevin Leger, co-founder of Office Hours and Director of Product Design at Galvanize. They talk machine learning—from a real-world example of busting fraud to the confusion matrix (which is actually quite simple to understand). You'll also learn how to start using machine learning to find and predict instances of fraud in your organization.

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Episode 2: How to use supervised Machine Learning to predict fraud

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