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Building Apps with Machine Learning in .NET

Machine-learning (ML) is a subset of artificial intelligence (AI) that enables computers to learn from data. This course will teach you how to use ML.NET to train, build, and ship custom machine learning models with your .NET and C# applications.

Thomas Claudius Huber - Pluralsight course - Building Apps with Machine Learning in .NET
by Thomas Claudius Huber

What you'll learn

Machine-learning (ML) is a subset of artificial intelligence (AI) that you can use to build algorithms (models) that allow your computer to make predictions based on data that you provide. In this course, Building Apps with Machine Learning in .NET, you’ll learn how to train, build, and ship custom machine learning models with your .NET applications. First, you’ll explore machine learning and ML.NET and you'll learn how to set up Visual Studio's Model Builder extension for ML.NET. Next, you’ll discover how to ship a learning model to detect the language of a piece of text. Finally, you’ll learn how to train a machine learning model to detect if an image contains a specific content. When you’re finished with this course, you’ll have the skills and knowledge of ML.NET and Visual Studio's Model Builder needed to use machine learning in your .NET applications.

Table of contents

About the author

Thomas Claudius Huber - Pluralsight course - Building Apps with Machine Learning in .NET
Thomas Claudius Huber

Thomas is a well-known author, software developer, and speaker from Germany. He specializes in .NET, C#, TypeScript, XAML, and Azure.

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