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E-grāmata: Hands-on Azure Cognitive Services: Applying AI and Machine Learning for Richer Applications

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  • Formāts: PDF+DRM
  • Izdošanas datums: 18-Sep-2021
  • Izdevniecība: APress
  • Valoda: eng
  • ISBN-13: 9781484272497
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Hands-on Azure Cognitive Services: Applying AI and Machine Learning for Richer ApplicationsPalielināt
  • Formāts: PDF+DRM
  • Izdošanas datums: 18-Sep-2021
  • Izdevniecība: APress
  • Valoda: eng
  • ISBN-13: 9781484272497
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Intermediate-Advanced user level

Use this hands-on guide book to learn and explore cognitive APIs developed by Microsoft and provided with the Azure platform. This book gets you started working with Azure Cognitive Services. You will not only become familiar with Cognitive Services APIs for applications, but you will also be exposed to methods to make your applications intelligent for deployment in businesses.

The book starts with the basic concepts of Azure Cognitive Services and takes you through its features and capabilities. You then learn how to work inside the Azure Marketplace for Bot Services, Cognitive Services, and Machine Learning. You will be shown how to build an application to analyze images and videos, and you will gain insight on natural language processing (NLP). Speech Services and Decision Services are discussed along with a preview of Anomaly Detector. You will go through Bing Search APIs and learn how to deploy and host services by using containers. And you will learn how to use Azure Machine Learning and create bots for COVID-19 safety, using Azure Bot Service.

After reading this book, you will be able to work with datasets that enable applications to process various data in the form of images, videos, and text.


What You Will Learn
  • Discover the options for training and operationalizing deep learning models on Azure
  • Be familiar with advanced concepts in Azure ML and the Cortana Intelligence Suite architecture
  • Understand software development kits (SKDs)
  • Deploy an application to Azure Kubernetes Service


Who This Book Is For

Developers working on a range of platforms, from .NET and Windows to mobile devices, as well as data scientists who want to explore and learn more about deep learning and implement it using the Microsoft AI platform
About the Authors ix
About the Technical Reviewer xi
Acknowledgments xiii
Introduction xv
Chapter 1 The Power of Cognitive Services
1(20)
Overview of Azure Cognitive Services
1(1)
Why Azure Cognitive Services
2(1)
Exploring the Cognitive Services APIs: Vision, Speech, Language, Web Search, and Decision
3(1)
Vision APIs
4(4)
Speech APIs
8(2)
Language APIs
10(2)
Web Search APIs
12(2)
Decision APIs
14(1)
Overview of Machine Learning
15(3)
Understanding the Use Cases
18(2)
The COVID-19 SmartApp Scenario
20(1)
Summary
20(1)
Chapter 2 The Azure Portal for Cognitive Services
21(16)
Getting Started with Azure Portal and Azure Cognitive Services
21(3)
Getting Started with Azure Cognitive Services
24(1)
Azure Marketplace: An Overview of Al + Machine Learning
24(2)
Understanding Software Development Kits (SDKs): To Get Started with Your Favorite Programing Language
26(1)
Setting Up Your Visual Studio Template
27(8)
Summary
35(2)
Chapter 3 Vision - Identify and Analyze Images and Videos
37(60)
Understanding the Vision APIs with Computer Vision
37(4)
Analyzing Images
41(1)
Start Diving for Computer Vision
42(17)
Identifying a Face
59(17)
Understanding the Working Behavior of Vision APIs for Video Analysis
76(13)
Microsoft Azure Video Indexer
89(7)
Summary
96(1)
Chapter 4 Language - Understand Unstructured Text and Models
97(30)
Creating and Understanding Language Models
97(2)
Enrichment in Progress - JFK Files Demo
99(16)
The Muppet Models - Transformers for NLP
115(1)
Named Entity Recognition with Fine-Tuned BERT
116(10)
Summary of the Language API
126(1)
Chapter 5 Speech - Talk to Your Application
127(30)
Understanding Speech and Speech Services
128(1)
Comprehensive Privacy and Security
128(1)
Getting Started
129(1)
Translating Speech Real Time into Your Application
130(1)
Speech to Text - Converting Spoken Audio to Text for Interaction
131(13)
Cognitive Speech Search with LUIS and Speech Studio
144(11)
Summary of the Speech API
155(2)
Chapter 6 Decision - Make Smarter Decisions in Your Applications
157(64)
Decision Services and APIs
158(1)
Content Moderator Service
159(2)
Trying It Out - Building Content Moderators
161(6)
Moderating Text Using Content Moderator Service
167(3)
Moderating Text - Invoking the API
170(14)
Personalizer Service
184(3)
Trying It Out - Building a Movie Personalizer
187(12)
Anomaly Detector Service
199(2)
Try It Out - Anomaly Detector Demo
201(13)
Metrics Advisor (Preview)
214(5)
Summary and Conclusion
219(1)
References and Further Reading
220(1)
Chapter 7 Search - Add Search Capabilities to Your Application
221(30)
The Search Ecosystem
222(1)
Azure Cognitive Search
223(1)
Searching with Azure Cognitive Search
223(9)
Testing Azure Cognitive Search
232(4)
Integrating Azure Cognitive Search in Your Notebooks
236(4)
Searching with Bing Web Search
240(9)
Summary and Conclusion
249(1)
References and Further Reading
250(1)
Chapter 8 Deploy and Host Services Using Containers
251(40)
Cognitive Services Containers
252(2)
Hosting Cognitive Services Containers
254(1)
Running a Language Service Container
254(10)
Running an Anomaly Detector Service Container
264(6)
Working with Azure Container Instances
270(11)
Deploying a Cognitive Services Container with Azure Kubernetes Service
281(8)
Summary and Conclusion
289(1)
References and Further Reading
290(1)
Chapter 9 Azure Bot Services
291(30)
The Azure Bot Services Ecosystem
292(1)
Building Azure Service C0V1D-19 Bot
292(18)
Augmenting the Bot Knowledge Base from the Web
310(9)
Conclusion and Summary
319(1)
References and Further Reading
319(2)
Chapter 10 Azure Machine Learning
321(32)
Azure Machine Learning Stack
322(8)
Hello World with Azure Machine Learning
330(8)
Creating a Machine Learning Model for Classification
338(5)
Classification Model Using Azure Machine Learning Designer
343(10)
Conclusion and Summary 353(1)
References and Further Reading 354(1)
Index 355
Ed Price is Senior Program Manager in Engineering at Microsoft, with an MBA degree in technology management. Previously, he led Azure Globals efforts to publish key architectural guidance, ran Microsoft customer feedback programs for Azure Development and Data Services, and was a technical writer at Microsoft for six years, helping lead TechNet Wiki. Ed now leads Microsofts efforts to publish reference architectures on the Azure Architecture Center (including a strong focus on AI architectures). He is an instructor at Bellevue College, where he teaches design and computer science. At Microsoft, he also helps lead volunteer efforts to teach thousands of students how to code each year, focusing on girls and minorities. Ed is a co-author of six books, including Azure Cloud Native Architecture Mapbook, Cloud Debgging and Profiling in Microsoft Azure (Apress), and Learn to Program with Small Basic.





Adnan Masood, PhD, is an Artificial Intelligence and Machine Learning researcher, Software Engineer, Microsoft regional Director, and Microsoft MVP for Artificial Intelligence. An international speaker and thought leader, Adnan currently works at UST as Chief AI Architect, and collaborates with Stanford Artificial Intelligence Lab and MIT AI Lab on building enterprise solutions. Adnan has authored four books, including Automated Machine Learning and Cognitive Computing Recipes (Apress).





Gaurav Aroraa is a Chief Technology officer at SCL, with Doctorate in Computer Science. Guarav is a Microsoft MVP award recipient. He is a lifetime member of the Computer Society of India (CSI), an advisory member and senior mentor at IndiaMentor, certified as a Scrum trainer and coach, ITIL-F certified, and PRINCE-F and PRINCE-P certified. Guarav is an open-source developer and a contributor to the Microsoft TechNet community. He has authored ten books, including Cloud Debugging and Profiling in Microsoft Azure (Apress).
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