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

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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This episode is 48 minutes long.

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This episode was published on May 13, 2020.

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