Getting started with machine learning is not easy. This is the domain of the Data Scientist and to understand the different models leads you into trying to understand the mathematical part of it.
Still, if you see a machine learning model as a black box, things start to get a little bit easier.
One of the solutions Microsoft offers to developers for getting familiar with machine learning, training models, and deploying them with code, is ML.Net.
Or as Microsoft says:
With ML.NET, you can create custom ML models using C# or F# without having to leave the .NET ecosystem.
In fact, it runs on .Net Core so technically, this should run on multiple operating systems, including Linux; on Intel and Arm processors…
Let’s see how to start with ML.Net and how to integrate it with Azure IoT EdgeDoorgaan met het lezen van “Running ML.Net models inside an Azure IoT Edge module”