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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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Kubernetes Cheat Sheet: From Install to Kubectl

Download the Kubernetes cheat sheet and learn how to install and run locally on Minikube and how to use the Kubectl CLI. You'll also see why you’ll need more than Kubernetes for DevOps.

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Get started with Data-Driven, Intelligent Apps with SQL Server

Build intelligent applications using a scalable, hybrid database platform that has everything built in—from in-memory performance to in-database analytics. SQL Server 2016 SP1 is a comprehensive database for demanding workloads. Get started with a 180-day free trial.

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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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Containerizing Continuous Delivery in Java

As the industry moves towards microservices, continuous delivery (CD), and Docker, does Java still have a place? Though it may seem like a strange mix at first, combining battle-hardened Java with these emerging technologies can give you the best of both worlds.

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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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