This is a follow-up from the previous post on deploying an ONNX model using Azure Functions. Suppose you've got the API working great and youwant to include this amazing functionality on a brand new website. What follows is the harrowing path thr...

Building awesome machine learning models can be an onerous task. Once all the blood, sweat and tears have been expended creating this magical (and ethical) model sometimes it feels like getting the thing deployed will require severing another limb i...

Every business has their "junk" drawer (or the "share" as Bill/Karen likes to call it). Often hidden in this data wasteland are nuggets of informational gold that could revolutionize the way you do business (we hope). Turns out th...

Let's say you built an amazingly wonderful hand-crafted artisanal convolutional neural network that works beautifully on your hard-drive based dataset. You are now ready to take this masterpiece to the cloud to work on a much larger dataset on be...

As some of you know I have been working on a machine learning library for .NET called numl. The main purpose of the library is to abstract away some of the mundane issues surrounding setting up the learning problem in the first place. Additionally so...

It was absolutely a blast to be able to present my new machine learning library at CodeMash this year. One of the key goals of the library is to ensure that it is readily accessible to all of its users. Machine learning can often be an intimidating s...