Fraud detection without labeled data

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Fraud is a big deal -- it costs the economy several billion dollars a year. For many years, machine learning has been the tool of choice for solving fraud. Unfortunately, machine learning is only useful when you have lots of high-quality labeled data. In the real world it's difficult, expensive, or impossible to get this high-quality labeled data. In my talk I'm going to look at the problem of fraud at a high level, how it can be solved using unsupervised techniques that don't require labels, and the infrastructure required to implement it.

Øredev 2017

Øredev is the perfect blend, with one day of in-depth pre-conference workshops and three days of sessions, you will get tons of inspiration and learning to keep you creating your best work all year...