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Modernizing Your Windows Applications with the Windows App SDK and WinUI

You're reading from   Modernizing Your Windows Applications with the Windows App SDK and WinUI Expand your desktop apps to support new features and deliver an integrated Windows 11 experience

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781803235660
Length 514 pages
Edition 1st Edition
Languages
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Authors (2):
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Marc Plogas Marc Plogas
Author Profile Icon Marc Plogas
Marc Plogas
Matteo Pagani Matteo Pagani
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Matteo Pagani
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Table of Contents (19) Chapters Close

Preface 1. Section 1: Basic Concepts
2. Chapter 1: Getting Started with the Windows App SDK and WinUI FREE CHAPTER 3. Section 2: Modernization Journey
4. Chapter 2: The Windows App SDK for a Windows Forms Developer 5. Chapter 3: The Windows App SDK for a WPF Developer 6. Chapter 4: The Windows App SDK for a UWP Developer 7. Chapter 5: Designing Your Application 8. Chapter 6: Building a Future-Proof Architecture 9. Section 3: Integrating Your App with the Windows Ecosystem
10. Chapter 7: Migrating Your Windows Applications to the Windows App SDK and WinUI 11. Chapter 8: Integrating Your Application with the Windows Ecosystem 12. Chapter 9: Implementing Notifications 13. Chapter 10: Infusing Your Apps with Machine Learning Using WinML 14. Section 4: Distributing Your Application
15. Chapter 11: Publishing Your Application 16. Chapter 12: Enabling CI/CD for Your Windows Applications 17. Assessments 18. Other Books You May Enjoy

Chapter 10: Infusing Your Apps with Machine Learning Using WinML

Artificial intelligence is, without a doubt, one of the most relevant topics in the technology ecosystem, which unlocks new and exciting opportunities to automate tasks that, in the past, simply weren't possible, from recognizing objects in a picture or a video feed to understanding a user's behavior.

These scenarios are powered by machine learning, a technology that enables you to train a model (which is stored in a file) with a set of data. For example, you can train a model to recognize a specific object in a picture. Once you have a model, by identifying patterns, the algorithm will try to apply the same logic used during the training to any picture you provide as input.

The cloud is the technology that has enabled such a big growth of machine learning; thanks to its computing power capabilities, you can train a machine learning model with your data in hours instead of days or weeks. Or you can use...

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