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In Machines We Trust: How retail is using AI to prevent fraud

MIT Technology Review Narrated

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Using Machine Learning to Detect Big Business Transactions

Fraud detection systems are typically trained with a method called unsupervised learning, where an algrithm is given a large amount of data. The system finds patterns in that data, and anything outside of what it deems normal gets flagged. When a flag is raised, because it's broken a rule, it's very clear to the humans wo need to step in and figure out why that alert has been raised. But this is the flexibility of a machine lunning system that's able to spot things that you may not have anticipated.

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