Text analytics: Words, Numbers, and Vectors

Humans understand words; machines work with numbers. In the world of text analytics, we must somehow convert our human words into numbers a computer can understand. Of course, it is not enough to assign each word some sort of key value. One number cannot encompass the meaning and application of a word any more than […]
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Setting Up VS Code to Program Azure IoT Devices

Microsoft VS Code is a programmer’s development environment designed to run on all the major desktop operating systems. However, VS Code has also evolved into a cross-compilation environment, which is to say one can write and compile code on a Windows PC, Linux, or a Mac and then upload the code to a different hardware […]
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C# Nullable References

The Biggest New Thing in C# for Years But hang on – haven’t reference types always been nullable? That’s absolutely right. It’s fundamental to the way a reference type works. The variable doesn’t contain the data itself, but a reference to a separate memory location where the data is stored. Thus if there’s no data, […]
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Using a Desktop Browser to Connect to Jupyter on Jetson Nano Edge Device

Tunneling to Jupyter Jupyter is a terrific development environment, but I can’t have some bloated hogbeast browser taking up a lot of RAM when I fine-tuning machine-learning code on an edge device like the NVidia Jetson Nano. The solution is actually pretty easy. Move the browser side of the Jupyter equation to a desktop. There […]
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Parallel or Perish – An Overview

I’m pleased to begin the first of a series of blogs on parallel processing, a topic which is no longer optional in the world of machine learning and AI. In this introductory note, we’ll take an overview of the field which, for better or for worse, is becoming more complex every day. Today we are […]
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