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

✍ Scribed by Ed Price, Adnan Masood, Gaurav Aroraa

• Publisher: Apress
• Year: 2021
• Tongue: English
• Leaves: 376
• Edition: 1
• Category: Library

✦ Synopsis

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

✦ Table of Contents

Table of Contents
About the Authors
About the Technical Reviewer
Acknowledgments
Introduction
Chapter 1: The Power of Cognitive Services
Overview of Azure Cognitive Services
Why Azure Cognitive Services
Exploring the Cognitive Services APIs: Vision, Speech, Language, Web Search, and Decision
Vision APIs
Computer Vision
Custom Vision
Face
Form Recognizer
Video Indexer
Speech APIs
Speech Service
Speaker Recognition (Preview)
Language APIs
Immersive Reader
Language Understanding (LUIS)
QnA Maker
Text Analytics
Translator
Web Search APIs
Bing Search APIs
Bing Web Search
Bing Custom Search
Bing Image Search
Bing Entity Search
Bing News Search
Bing Video Search
Bing Visual Search
Bing Autosuggest
Bing Spell Check
Bing Local Business Search
Decision APIs
Anomaly Detector (Preview)
Content Moderator
Personalizer
Overview of Machine Learning
Understanding the Use Cases
The COVID-19 SmartApp Scenario
Summary
Chapter 2: The Azure Portal for Cognitive Services
Getting Started with Azure Portal and Azure Cognitive Services
Getting Started with Azure Cognitive Services
Azure Marketplace: An Overview of AI + Machine Learning
Understanding Software Development Kits (SDKs): To Get Started with Your Favorite Programing Language
Setting Up Your Visual Studio Template
Summary
Chapter 3: Vision – Identify and Analyze Images and Videos
Understanding the Vision APIs with Computer Vision
Analyzing Images
Start Diving for Computer Vision
Working with APIs
Identifying a Face
Test Using the API Console
Test Using a Demo Page
Implement It Using Code
Understanding the Working Behavior of Vision APIs for Video Analysis
Microsoft Azure Video Indexer
Summary
Chapter 4: Language – Understand Unstructured Text and Models
Creating and Understanding Language Models
Enrichment in Progress – JFK Files Demo
The Muppet Models – Transformers for NLP
Named Entity Recognition with Fine-Tuned BERT
Summary of the Language API
Chapter 5: Speech – Talk to Your Application
Understanding Speech and Speech Services
Comprehensive Privacy and Security
Getting Started
Translating Speech Real Time into Your Application
Speech to Text – Converting Spoken Audio to Text for Interaction
Cognitive Speech Search with LUIS and Speech Studio
Summary of the Speech API
Chapter 6: Decision – Make Smarter Decisions in Your Applications
Decision Services and APIs
Content Moderator Service
Trying It Out – Building Content Moderators
Moderating Text Using Content Moderator Service
Moderating Text – Invoking the API
Personalizer Service
Trying It Out – Building a Movie Personalizer
Anomaly Detector Service
Try It Out – Anomaly Detector Demo
Metrics Advisor (Preview)
Summary and Conclusion
References and Further Reading
Chapter 7: Search – Add Search Capabilities to Your Application
The Search Ecosystem
Azure Cognitive Search
Searching with Azure Cognitive Search
Testing Azure Cognitive Search
Integrating Azure Cognitive Search in Your Notebooks
Searching with Bing Web Search
Summary and Conclusion
References and Further Reading
Chapter 8: Deploy and Host Services Using Containers
Cognitive Services Containers
Hosting Cognitive Services Containers
Running a Language Service Container
Running an Anomaly Detector Service Container
Working with Azure Container Instances
Deploying a Cognitive Services Container with Azure Kubernetes Service
Summary and Conclusion
References and Further Reading
Chapter 9: Azure Bot Services
The Azure Bot Services Ecosystem
Building Azure Service COVID-19 Bot
Augmenting the Bot Knowledge Base from the Web
Conclusion and Summary
References and Further Reading
Chapter 10: Azure Machine Learning
Azure Machine Learning Stack
Hello World with Azure Machine Learning
Creating a Machine Learning Model for Classification
Classification Model Using Azure Machine Learning Designer
Conclusion and Summary
References and Further Reading
Index