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  How to Create a Machine Learning Decision Tree Classifier Using C#

  After earlier explaining how to compute disorder and split data in his exploration of machine learning decision tree classifiers, resident data scientist Dr. James McCaffrey of Microsoft Research now shows how to use the splitting and disorder code to create a working decision tree classifier.
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  Microsoft: Move from Traditional ASP.NET to 'Core' Requires 'Heavy Lifting'

  There are plenty of reasons to move traditional ASP.NET web apps -- part of the old .NET Framework -- to the new cross-platform direction, ASP.NET Core, but beware it will require some "heavy lifting," Microsoft says.
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  How to Compute Disorder for Machine Learning Decision Trees Using C#

  Using a decision tree classifier from a machine learning library is often awkward because it usually must be customized and library decision trees have many complex supporting functions, says resident data scientist Dr. James McCaffrey, so when he needs a decision tree classifier, he always creates one from scratch. Here's how.
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  Blazor's Future: gRPC Is Key

  Blazor guru Steve Sanderson detailed what Microsoft is thinking about the future of the revolutionary project that enables .NET-based web development using C# instead of JavaScript, explaining how gRPC is key, along with a new way of testing and a scheme for installable desktop apps.
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  Don't Do It All Yourself: Exploiting gRPC Well Known Types in .NET Core

  If you're creating business services that send dates and decimal data then you may be concerned that gRPC services don't support the relevant data types. Don't Panic! There are solutions. Here's how to use them.