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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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ML.NET Revealed - Simple Tools for Applying Machine Learning to Your Applications (Paperback, 1st ed.)
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ML.NET Revealed - Simple Tools for Applying Machine Learning to Your Applications (Paperback, 1st ed.)
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Get introduced to ML.NET, a new open source, cross-platform machine
learning framework from Microsoft that is intended to democratize
machine learning and enable as many developers as possible. Dive in
to learn how ML.NET is designed to encapsulate complex algorithms,
making it easy to consume them in many application settings without
having to think about the internal details. You will learn about
the features that do the necessary "plumbing" that is required in a
variety of machine learning problems, freeing up your time to focus
on your applications. You will understand that while the
infrastructure pieces may at first appear to be disconnected and
haphazard, they are not. Developers who are curious about trying
machine learning, yet are shying away from it due to its perceived
complexity, will benefit from this book. This introductory guide
will help you make sense of it all and inspire you to try out
scenarios and code samples that can be used in many real-world
situations. What You Will Learn Create a machine learning model
using only the C# language Build confidence in your understanding
of machine learning algorithms Painlessly implement algorithms
Begin using the ML.NET library software Recognize the many
opportunities to utilize ML.NET to your advantage Apply and reuse
code samples from the book Utilize the bonus algorithm selection
quick references available online Who This Book Is For Developers
who want to learn how to use and apply machine learning to enrich
their applications
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