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Learning Microsoft Cognitive Services

You're reading from   Learning Microsoft Cognitive Services Leverage Machine Learning APIs to build smart applications

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781788623025
Length 368 pages
Edition 2nd Edition
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Author (1):
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Leif Larsen Henning Larsen Leif Larsen Henning Larsen
Author Profile Icon Leif Larsen Henning Larsen
Leif Larsen Henning Larsen
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Toc

Table of Contents (13) Chapters Close

Preface 1. Getting Started with Microsoft Cognitive Services FREE CHAPTER 2. Analyzing Images to Recognize a Face 3. Analyzing Videos 4. Letting Applications Understand Commands 5. Speaking with Your Application 6. Understanding Text 7. Extending Knowledge Based on Context 8. Querying Structured Data in a Natural Way 9. Adding Specialized Searches 10. Connecting the Pieces 11. LUIS Entities and Additional Information on Linguistic Analysis 12. License Information

Summary


Throughout this chapter, we have learned about the Academic API and Knowledge Exploration Service. We looked at how to interpret natural language queries to get query expressions for evaluation. Through this evaluation, we have retrieved academic papers from the Microsoft Academic Graph knowledge base. From there, we have learned how to set up the Knowledge Exploration Service itself, going from schemas all the way to deploying it to a Microsoft Azure Cloud Service. In the end, we learned how to set up a simple QnA Maker service.

In the next chapter, we will move into the Search APIs, learning how to utilize the different search APIs offered by Bing.

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