Understanding ML.NET
ML.NET is Microsoft's open source and cross-platform machine learning framework for .NET.
C# developers can use their existing skills and familiarity with .NET Standard APIs to integrate custom machine learning inside their apps without knowing details about how to build and maintain machine learning models.
More Information: You can read the official announcement for ML.NET at the following link: https://blogs.msdn.microsoft.com/dotnet/2018/05/07/introducing-ml-net-cross-platform-proven-and-open-source-machine-learning-framework/.
Today, ML.NET contains machine learning libraries created by Microsoft Research and used by Microsoft products like PowerPoint for intelligently recommending style templates based on the content of a presentation. Soon, ML.NET will also support other popular libraries like Accord.NET, CNTK, Light GBM, and TensorFlow, but we will not cover those in this book.
More Information: The Accord...
