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

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Chapter 1: The Power of Cognitive Services

Chapter Goal: This first chapter sets up the values, reasons, and impacts you can achieve through Microsoft Azure Cognitive Services. It provides an overview of the features and capabilities. The chapter also introduces you to our case study and structures that we'll use throughout the rest of the book.

No of pages: 14

Sub - Topics

1. Overview of Azure Cognitive Services

2. Understanding the Use Cases

3. Exploring the Cognitive Services APIs: Vision, Speech, Language, Search, and Decision

4. Overview of Machine Leaning

5. The COVID-19 SmartApp Scenario

Chapter 2: The Azure Portal for Cognitive Services

Chapter Goal: The aim of this chapter to get started with Microsoft Cognitive services by exploring the Azure Portal. This chapter will explore the Cognitive Azure Portal and some of the common features. Finally, the chapter will take you inside the Azure Marketplace for Bot Service, Cognitive Services, and Machine Learning.

No of pages: 18

Sub - Topics

1. Getting started with Azure Portal and Microsoft Cognitive Services

2. Azure Marketplace - an overview of AI + Machine Learning

3. Getting started with Azure Bot Service

4. Understanding software development kits (SDKs) - to get started with a favorite programing language [Ref. https: //docs.microsoft.com/en-us/azure/cognitive-services/]

5. Setting up your Visual Studio template

Chapter 3: Vision - Identify and Analyze Images and Videos

Chapter Goal: This chapter will provide insight on Computer Vision with a full of hands-on example, where we build an application to analyze an Image. There are two features currently in preview that this chapter will also cover: Form Recognizer and Ink Recognizer.

No of pages: 24

Sub - Topics

1. Understanding the Vision API with Computer Vision

2. Analyzing images

3. Identifying a face

4. Understanding the working behavior of vision APIs for Video Analysis

5. Recognizing forms, tables, and ink

6. Summary of the Vision API

Chapter 4: Language - Gain an Understanding of Unstructured Text and Models

Chapter Goal: This chapter will provide insight on NLP (Natural language processing) by evaluating user sentiments. The chapter will also touch preview features - including Immersive Reader.

No of pages: 20

Sub - Topics

1. Creating and understanding language models

2. Training language models

3. Translating text to create your own translator application

4. Using QnA Maker to host conversational discussions about your data

5. Using Immersive Reader to understand text via audio and visual cues

6. Summary of the Language API

Chapter 5: Speech - Talk to Your Application

Chapter Goal: This chapter will provide insight on speech services by evaluating translating text to speech and vice versa. Enabling a speaker