Machine Learning with Dynamics 365 and Power Platform: The Ultimate Guide to Apply Predictive Analytics

★★★★★ 5.0 106 reviews

US$10.30
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Management number 231709137 Release Date 2026/06/18 List Price US$10.30 Model Number 231709137
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Apply cutting-edge AI techniques to your Dynamics 365 environment to create new solutions to old business problemsIn 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 ProjectsThe creation and management of environments for development, testing, and production of a machine learning projectHow adopting machine learning techniques will redefine the future of your ERP/CRM systemPerfect 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. Read more

ASIN B09PGV34LF
XRay Not Enabled
ISBN13 978-1119771302
Edition 1st
Language English
File size 8.3 MB
Page Flip Enabled
Publisher Wiley
Word Wise Not Enabled
Print length 233 pages
Accessibility Learn more
Screen Reader Supported
Publication date December 29, 2021
Enhanced typesetting Enabled

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