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Artificial Intelligence for .NET: Speech, Language, and Search

✍ Scribed by Nishith Pathak


Publisher
Apress
Year
2017
Tongue
English
Leaves
278
Edition
1
Category
Library

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✦ Synopsis


Get introduced to the world of artificial intelligence with this accessible and practical guide. Build applications that make intelligent use of language and user interaction to better compete in today’s marketplace. Discover how your application can deeply understand and interpret content on the web or a user’s machine, intelligently react to direct user interaction through speech or text, or make smart recommendations on products or services that are tailored to each individual user.

With Microsoft Cognitive Services, you can do all this and more utilizing a set of easy-to-use APIs that can be consumed on the desktop, web, or mobile devices. Developers normally think of AI implementation as a tough task involving writing complex algorithms. This book aims to remove the anxiety by creating a cognitive application with a few lines of code. There is a wide range of Cognitive Services APIs available. This book focuses on some of the most useful and powerful ways that your application can make intelligent use of language.

Artificial Intelligence for .NET: Speech, Language, and Search will show you how you can start building amazing capabilities into your applications today.
What You’ll Learn

Understand the underpinnings of artificial intelligence through practical examples and scenarios
Get started building an AI-based application in Visual Studio
Build a text-based conversational interface for direct user interaction
Use the Cognitive Services Speech API to recognize and interpret speech
Look at different models of language, including natural language processing, and how to apply them in your Visual Studio application
Reuse Bing search capabilities to better understand a user’s intention
Work with recommendation engines and integrate them into your apps

Who This Book Is For

Developers working on a range of platforms, from .NET and Windows to mobile devices. Examples are given in C#. No prior experience with AI techniques or theory is required.


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