Jon Wood has a video showing you how to scale numerical data using ML.NET to help you get better performance out of your machine learning algorithms.

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More great stuff by Jon:

Get started with ML.NET so you can create machine learning models in C# to run impressive predictions and use them in your .NET applications!

Create innovation in your apps with scenarios such as sentiment analysis, anomaly detection, text classification, object detection and many more!

ML.NET allows .NET developers to easily build and also consume machine learning models in their NET applications.

In this episode, Bri Achtman joins Rich to show off some really interesting scenarios that ML.NET and its family of tools enables. They talk about training models, AutoML, the ML.NET CLI, and even a Visual Studio Extension for training models!

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