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Startup ML: Bootstrapping a Fraud Detection System
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| by Michael Manapat Follow 2 Followers on Apr 16, 2016 |

Michael Manapat talks about how to choose, train, and evaluate models, how to bridge the gap between training and production systems, and how to address common pitfalls using the problem of fraud detection as motivation.

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Michael Manapat manages Stripe’s Machine Learning Products team, which is responsible for both the data science and the production engineering behind the company's ML-backed data products. He was previously a Software Engineer at Google.

Software is Changing the World. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.

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