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Building JavaScript Microservices with SenecaJS and Compose

Database-backed microservices are powerful and in this article we show how to use SenecaJS, NodeJS and Compose databases to create a virtual product catalog. Microservices are making a huge dent in web development, with companies like Netflix, Walmart, and IBM embracing microservice architectures.

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Introduction to Machine Learning - Download the eBook

What is machine learning? Who is using it? How does it work? What are some real-world uses? Get answers to these questions and so much more in this free eBook! It's like a crash course in machine learning geared specifically for today's modern fraud fighter.

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Large Scale Decision Forests: Lessons Learned

Learn how Sift Science devised a fraud detection modeling stack that is able to adapt to individual customers while simultaneously delivering a great experience for new customers, all achieved by mixing the output from a “global” model with the output from a customer’s individualized model.

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Not All Machine Learning Systems Are Created Equal

Online businesses need a fraud prevention solution that can detect many different types of fraud and is effective across multiple channels. Learn how the right fraud prevention system can help businesses reduce fraud losses, lost sales, fraud review costs, and chargebacks.

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Hotel Tonight Case Study: Using Machine Learning to Enable Real-Time Fraud Detection

Learn how Hotel Tonight used Machine Learning (ML) to enable real-time fraud detection, how they integrated ML into existing workflows, and how they dynamically improved the checkout experience based on risk.

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A Data Application to Foretell the Next Silicon Valley

Can we predict what the next hub of tech entrepreneurship will be? Could we pinpoint where the next real estate boom will be and invest there? Matt Coatney uses open data, python, and d3.js to create a data-rich end-user application to answer some of these questions.

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