Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Adopting .NET 5

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

Arrow left icon
Product type Paperback
Published in Dec 2020
Publisher Packt
ISBN-13 9781800560567
Length 296 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Authors (2):
Arrow left icon
Hammad Arif Hammad Arif
Author Profile Icon Hammad Arif
Hammad Arif
Habib Qureshi Habib Qureshi
Author Profile Icon Habib Qureshi
Habib Qureshi
Arrow right icon
View More author details
Toc

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:

    ...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime