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Adopting .NET 5

You're reading from   Adopting .NET 5 Understand modern architectures, migration best practices, and the new features in .NET 5

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Product type Paperback
Published in Dec 2020
Publisher Packt
ISBN-13 9781800560567
Length 296 pages
Edition 1st Edition
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Authors (2):
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Hammad Arif Hammad Arif
Author Profile Icon Hammad Arif
Hammad Arif
Habib Qureshi Habib Qureshi
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Habib Qureshi
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Table of Contents (13) Chapters Close

Preface 1. Section 1: Features and Capabilities
2. Chapter 1: Introducing .NET 5 Features and Capabilities FREE CHAPTER 3. Chapter 2: What's New in C# 9? 4. Section 2: Design and Architecture
5. Chapter 3: Design and Architectural Patterns 6. Chapter 4: Containerized Microservices Architecture 7. Section 3: Migration
8. Chapter 5: Upgrading Existing .NET Apps to .NET 5 9. Chapter 6: Upgrading On-Premises Applications to the Cloud with .NET 5 10. Section 4: Bonus
11. Chapter 7: Integrating Machine Learning in .NET 5 12. Other Books You May Enjoy

Chapter 7: Integrating Machine Learning in .NET 5

Developing machine learning (ML) solutions is a highly sought-after skill. But it is not limited to data scientists only. Traditional .NET application developers are increasingly being asked to integrate ML algorithms into their client-facing apps. ML.NET makes it very easy for .NET developers to leverage the power of ML in .NET applications, without going through the learning curve of another language such as Python or R.

This chapter is all about the ML.NET API to give you a taste of how to use ML in .NET. In this chapter, we will familiarize ourselves with the ML concepts and how ML.NET can help us build ML models and services, and then consume these from traditional .NET web and desktop projects. Finally, this chapter will point you to additional resources, should you be interested in building more advanced machine learning-based solutions on the .NET platform.

We will cover the following topics in this chapter:

    ...
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