Название: Machine Learning with Dynamics 365 and Power Platform
Автор: Vinnie Bansal
Издательство: John Wiley & Sons Limited
Жанр: Программы
isbn: 9781119771302
isbn:
Table of Contents
1 Cover
4 Foreword
5 Preface WHY DID WE WRITE THIS BOOK? WHAT WAS THE INSPIRATION BEHIND THIS SUBJECT?
8 CHAPTER 1: Dynamics 365, Power Platform, and Machine Learning INTRODUCTION TO DYNAMICS 365 INTRODUCTION TO POWER PLATFORM WHAT IS MACHINE LEARNING: HOW HAS IT EVOLVED? DEFINITION OF MACHINE LEARNING
9 CHAPTER 2: Artificial Intelligence and Pre‐Built Machine Learning in Dynamics 365 AZURE AI PLATFORM AZURE MACHINE LEARNING SERVICE KNOWLEDGE MINING
10 CHAPTER 3: ML/AI Features and Their Applications in Dynamics 365 VIRTUAL AGENT FOR CUSTOMER SERVICE IN DYNAMICS 365 ARTIFICIAL INTELLIGENCE IN POWER APPS WITH AI BUILDER WHAT IS MIXED REALITY?
11 CHAPTER 4: Dynamics 365 and Custom ML Models Using Azure ML
12 CHAPTER 5: Deep Dive in Machine Learning Custom Models
13 Chapter 6: Machine Learning with Dynamics 365 Use Cases ML FOR FINANCE DEMAND FORECASTING CONNECTED STORE ML FOR HUMAN RESOURCES MANAGEMENT MACHINE LEARNING AT THE WORKPLACE
14 Afterword
15 Index
List of Tables
1 Chapter 4TABLE 4.1 Data guardrails.
List of Illustrations
1 Chapter 1FIGURE 1.1 Understanding the three tools of the Power Platform.FIGURE 1.2 Evolution of machine learning.FIGURE 1.3 Machine learning lifecycle.FIGURE 1.4 Data preparation process.FIGURE 1.5 Machine learning algorithms.
2 Chapter 2FIGURE 2.1 Azure Cognitive Services.FIGURE 2.2 Types of vision APIs.FIGURE 2.3 Types of speech APIs.FIGURE 2.4 Speech services.FIGURE 2.5 Language services.FIGURE 2.6 Knowledge services.FIGURE 2.7 Bot building stages.FIGURE 2.8 Three phases of knowledge mining.
3 Chapter 3FIGURE 3.1 Artificial intelligence capabilities within Customer Insights.FIGURE 3.2 Five elements of the card.FIGURE 3.3 Timeline of Dynamics 365 Sales.FIGURE 3.4 Untracked email with tracking link on right.FIGURE 3.5 How Power Apps can help organizations.FIGURE 3.6 Mixed Reality component.
4 Chapter 4FIGURE 4.1 Select dataset.FIGURE 4.2 Upload your data file.FIGURE 4.3 Configure run.FIGURE 4.4 Select task and settings.FIGURE 4.5 Additional configurations.FIGURE 4.6 Pipeline.
5 Chapter 6FIGURE 6.1 Automatic receipt recognition.
Guide
5 Foreword
6 Preface
10 Afterword