Below you will find pages that utilize the taxonomy term “Machine Learning”
Blog
Deploying a spam filter with Snorkel, scikit-learn and ONNX Runtime
I created the .NET Twitter Bot in January 2020 and it has been running ever since, amassing a decent following with over 2,000 followers at the time of writing this post. The bot was initially setup to simply search for #dotnet related tweets every 30 minutes and retweet them. As you can imagine, with such a simple bot, it was sometimes retweeting tweets that were not related to .NET at all.
Blog
Serverless image classification with ONNX, .NET and Azure Functions
The Open Neural Network Exchange (ONNX) format, released in 2017, is a portable file format for describing machine learning models. ONNX models are self-contained files (.onnx) that can be easily exported from all the major training frameworks and are supported by many hardware architectures and operating systems enabling improved efficiency at inference time. The ONNX Runtime in particular, developed in the open by Microsoft, is cross-platform and high performance with a simple API enabling you to run inference on any ONNX model exactly where you need it: VM in cloud, VM on-prem, phone, tablet, IoT device, you name it!