Vinnie Bansal - Machine Learning with Dynamics 365 and Power Platform

1 Cover

2 Title Page Machine Learning with Dynamics 365 and Power Platform The Ultimate Guide to Apply Predictive Analytics AURELIEN CLERE VINNIE BANSAL

3 Copyright

4 Foreword

5 Preface WHY DID WE WRITE THIS BOOK? WHAT WAS THE INSPIRATION BEHIND THIS SUBJECT?

6 Acknowledgments

7 About the Authors

8 CHAPTER 1: Dynamics 365, Power Platform, and Machine LearningINTRODUCTION 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 365AZURE 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

16 End User License Agreement

1 Chapter 4TABLE 4.1 Data guardrails.

1 Chapter 1 FIGURE 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.

1 Cover Page

2 Table of Contents

3 Title Page Machine Learning with Dynamics 365 and Power Platform The Ultimate Guide to Apply Predictive Analytics AURELIEN CLERE VINNIE BANSAL

4 Copyright

5 Foreword

6 Preface

7 Acknowledgments

8 About the Authors

9 Begin Reading

10 Afterword

11 Index

12 End User License Agreement

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AURELIEN CLERE

VINNIE BANSAL

Copyright © 2022 by John Wiley & Sons, Inc. All rights reserved.

Published by John Wiley & Sons, Inc., Hoboken, New Jersey.

Published simultaneously in Canada.

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Limit of Liability/Disclaimer of Warranty: While the publisher and author have used their best efforts in preparing this book, they make no representations or warranties with respect to the accuracy or completeness of the contents of this book and specifically disclaim any implied warranties of merchantability or fitness for a particular purpose. No warranty may be created or extended by sales representatives or written sales materials. The advice and strategies contained herein may not be suitable for your situation. You should consult with a professional where appropriate. Neither the publisher nor author shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages.