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It’s when you’re working with lots of data that you start looking around for an easier way to keep track of it all. Machine learning and artificial intelligence seem like the obvious answers, and Sahil shows you why.
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Mike looks at the technology that allows multiple teams to connect and scale their data despite disparate data storage methods.
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In this article, Sahil Malik demonstrates how to use Microsoft Cognitive Services' Face API to build an application that can detect, identify, and recognize human faces by creating and training a person group with associated images. He explains the API’s capabilities, the process of adding persons and faces, training the model, and performing identification via simple REST calls, highlighting its ease of use and scalability. Sahil emphasizes the practical potential of th...See More
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If you’re curious about Data Science or Python—and if you’re interested in the Internet of Things, you should be—you’ll find this introduction both important and exciting. Wei-Meng makes it all clear for us by explaining the basics.
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Learning R sets you up for creating machine learning projects. Wei-Meng takes a close look at the language, which can implement a wide variety of statistical techniques, tests, analysis, classification, clustering, and can help you produce publication-quality graphs.
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You know that F# is the Next Big Thing, but did you know that it uses type providers? Rachel shows you how to use them to access data in no time.

