The Ultimate Guide to Apply Predictive Analytics
Buch, Englisch, 240 Seiten, Format (B × H): 239 mm x 161 mm, Gewicht: 500 g
ISBN: 978-1-119-77129-6
Verlag: John Wiley & Sons Inc
In Machine Learning with Dynamics 365 and Power Platform: The Ultimate Guide to Apply Predictive Analytics, an accomplished team of digital and data analytics experts delivers a practical and comprehensive discussion of how to integrate AI Builder with Dataverse and Dynamics 365 to create real-world business solutions. It also walks you through how to build powerful machine learning models using Azure Data Lake, Databricks, Azure Synapse Analytics.
The book is filled with clear explanations, visualizations, and working examples that get you up and running in your development of supervised, unsupervised, and reinforcement learning techniques using Microsoft machine learning tools and technologies. These strategies will transform your business verticals, reducing costs and manual processes in finance and operations, retail, telecommunications, and manufacturing industries.
The authors demonstrate:
* What machine learning is all about and how it can be applied to your organization's Dynamics 365 and Power Platform Projects
* The creation and management of environments for development, testing, and production of a machine learning project
* How adopting machine learning techniques will redefine the future of your ERP/CRM system
Perfect for Technical Consultants, software developers, and solution architects, Machine Learning with Dynamics 365 and Power Platform is also an indispensable guide for Chief Technology Officers seeking an intuitive resource for how to implement machine learning in modern business applications to solve real-world problems.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Mathematik | Informatik EDV | Informatik Business Application Integrierte Softwarepakete Microsoft Office
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
Weitere Infos & Material
Foreword vii
Preface ix
Acknowledgments xi
About the Authors xiii
Chapter 1: Dynamics 365, Power Platform, and Machine Learning 1
Introduction to Dynamics 365 1
Introduction to Power Platform 6
What Is Machine Learning: How Has It Evolved? 11
Definition of Machine Learning 12
Chapter 2: Artificial Intelligence and Pre-Built Machine Learning in Dynamics 365 33
Azure AI Platform 33
Azure Machine Learning Service 41
Knowledge Mining 67
Chapter 3: ML/AI Features and Their Applications in Dynamics 365 71
Customer Insights 71
Customer Service Insights 77
Sales Insights 83
Product Insights 95
Virtual Agent for Customer Service in Dynamics 365 96
Artificial Intelligence in Power Apps with AI Builder 99
What Is Mixed Reality? 102
Chapter 4: Dynamics 365 and Custom ML Models Using Azure ML 107
Azure Machine Learning 108
Azure Machine Learning Studio 115
Azure Machine Learning Service 146
Chapter 5: Deep Dive in Machine Learning Custom Models 149
Azure CLI Extension 149
Visual Studio Code 153
Chapter 6: Machine Learning with Dynamics 365 Use Cases 161
ML for Finance 162
Demand Forecasting 190
Connected Store 192
ML for Human Resources Management 195
Machine Learning at the Workplace 200
Afterword 205
Index 207
