Book Image

Adopting .NET 5

By : Hammad Arif, Habib Qureshi
Book Image

Adopting .NET 5

By: Hammad Arif, Habib Qureshi

Overview of this book

.NET 5 is the unification of all .NET technologies in a single framework that can run on all platforms and provide a consistent experience to developers, regardless of the device, operating system (OS), or cloud platform they choose. By updating to .NET 5, you can build software that can quickly adapt to the rapidly changing demands of modern consumers and stay up to date on the latest technology trends in .NET. This book provides a comprehensive overview of all the technologies that will form the future landscape of .NET using practical examples based on real-world scenarios, along with best practices to help you migrate from legacy platforms. You’ll start by learning about Microsoft’s vision and rationale for the unification of the platforms. Then, you’ll cover all the new language enhancements in C# 9. As you advance, you’ll find out how you can align yourself with modern technology trends, focusing on everything from microservices to orchestrated containerized deployments. Finally, you’ll learn how to effectively integrate machine learning in .NET code. By the end of this .NET book, you’ll have gained a thorough understanding of the .NET 5 platform, together with a readiness to adapt to future .NET release cycles, and you’ll be able to make architectural decisions about porting legacy systems and code bases to a newer platform.
Table of Contents (13 chapters)
1
Section 1: Features and Capabilities
4
Section 2: Design and Architecture
7
Section 3: Migration
10
Section 4: Bonus

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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