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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
Author Profile Icon Habib Qureshi
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

Section 4: Bonus

Among the cadre of .NET 5 technologies, ML.NET is an exciting library by Microsoft that enables the development of machine learning services in .NET code. The last section introduces ML.NET to .NET developers. It shows how to integrate machine learning workflows and services into .NET 5 applications. It discusses typical uses of machine learning scenarios for application developers and then provides hand-on exercises to develop example machine learning services using ML.NET in .NET 5 applications.

The final exercise shows how to deploy a machine learning service as a serverless function in the cloud that enables machine learning features to be consumed from web, desktop, and mobile applications.

This section comprises the following chapters:

  • Chapter 7, Integrating Machine Learning in .NET 5 Code
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