Message Azure from an Internet of Things Device

Connected appliances, baby monitors, smart smoke detectors, and home security systems are just a few examples of the burgeoning “Internet of Things”, usually abbreviated just “IoT”. Of course, there must be centralized servers to collect the data from these devices, make some sense of it, and put that information to good use. Not surprisingly, Microsoft […]
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Using Postman to Learn the Azure Artificial Intelligence APIs

Azure Artificial Intelligence can be accessed by virtually any programming platform; all that is necessary is to formulate and send the appropriate http request and correctly parse the response. The Application Program Interface (API) is the same whether you prefer C#, Python, Node.js, or a host of other environments. But what if you are just […]
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Keras: One API to Rule them All

What is Keras? Keras is an API (Application Program Interface) originally designed to allow Tensorflow developers to focus their attention on the deep-learning problems of interest rather than concern themselves with minutia of how to implement their model in Tensorflow. Since its introduction, Keras has become popular not only among Tensorflow developers, but also among […]
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Beware the Local Minima

My career would probably be going better if I were not so easily distracted. A recent distraction occurred when I was browsing for some simple Keras code to test an installation of Intel’s PlaidML library. I came across a linear regression performed using Keras but the graph didn’t look quite right. There were more points […]
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Does Intel Python Deliver?

Intel’s distribution of Python, created in collaboration with Anaconda, is billed by the hardware giant as a distribution created for performance. Specifcally, the numerical performance demanded by scientific research and machine learning. Claims are bandied about referring to Python that executes at machine-language speeds, but does Intel Python really deliver? I won’t use the word […]
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