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Machine Learning is red hot right now and entering the field can be daunting for newcomers.

There are new languages, tooling, and frameworks to learn on top of very deep mathematical concepts.

Here’s a great article on ML.NET and how it brings familiar programming languages and techniques into the tools developers use every day.

That’s where ML.Net comes in. It’s Microsoft’s open source, cross-platform machine learning tool for .Net and .Net Core, targeting .Net Standard, running on Windows, Mac OS, and Linux systems. It’s extensible, so it works with not only Microsoft’s own ML tooling but also with other frameworks such as Google’s TensorFlow and the ONNX cross-platform model export technology. By supporting as wide a selection of frameworks as possible, it gives you the option to pick and choose the ML models that are closest to your needs, fine tuning them to fit.

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