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

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AURELIEN CLERE is a Microsoft MVP, Global Solution Architect with 10 years of experience in the Dynamics world (ERP, CRM). He is a speaker and organizes weekly webinars.

VINNIE BANSAL is an independent Dynamics 365 Business Advisor. He liaises between business and IT teams and serves as technical advisor to clients in assigned subject areas.

De la contraportada

<p>Microsoft offers robust and flexible solutions for businesses seeking to harness the capabilities of machine learning and artificial intelligence. But how these solutions work in the field&#8212;and how the various tools fit together&#8212;remains a mystery to some.</p> <p>In <i>Machine Learning with Dynamics 365 and Power Platform: The Ultimate Guide to Apply Predictive Analytics,</i> a team of accomplished digital transformation and data analytics professionals delivers a comprehensive discussion of exactly how to integrate AI Builder with Dataverse and Dynamics 365. Readers will learn how to build adaptable and functional machine learning models using Azure Data Lake, Databricks, and Azure Synapse Analytics. <p>Complete with crystal-clear explanations, revealing visualizations, and working examples that will get readers&#8217; supervised, unsupervised, and reinforcement learning strategies up and running, the book offers businesses the potential to reduce costs and manual processes in finance and operations, retail, telecommunications, and manufacturing industries. <p><i>Machine Learning with Dynamics 365 and Power Platform</i> explores the fundamentals of machine learning and how to apply it to your Dynamics 365 and Power Platform Projects, as well as how to create and manage environments for developing, testing, and producing a machine learning project. Finally, you&#8217;ll learn how adopting machine learning techniques will redefine the future of your enterprise resource planning and customer relationship management system. <p>Perfect for Microsoft and machine learning solution architects, software developers, and technical consultants, <i>Machine Learning with Dynamics 365 and Power Platform</i> also belongs in the libraries of chief technology officers looking for an authoritative reference on the implementation of machine learning to solve modern business problems.

De la solapa interior

Microsoft offers robust and flexible solutions for businesses seeking to harness the capabilities of machine learning and artificial intelligence. But how these solutions work in the field--and how the various tools fit together--remains a mystery to some.

In Machine Learning with Dynamics 365 and Power Platform: The Ultimate Guide to Apply Predictive Analytics, a team of accomplished digital transformation and data analytics professionals delivers a comprehensive discussion of exactly how to integrate AI Builder with Dataverse and Dynamics 365. Readers will learn how to build adaptable and functional machine learning models using Azure Data Lake, Databricks, and Azure Synapse Analytics.

Complete with crystal-clear explanations, revealing visualizations, and working examples that will get readers' supervised, unsupervised, and reinforcement learning strategies up and running, the book offers businesses the potential to reduce costs and manual processes in finance and operations, retail, telecommunications, and manufacturing industries.

Machine Learning with Dynamics 365 and Power Platform explores the fundamentals of machine learning and how to apply it to your Dynamics 365 and Power Platform Projects, as well as how to create and manage environments for developing, testing, and producing a machine learning project. Finally, you'll learn how adopting machine learning techniques will redefine the future of your enterprise resource planning and customer relationship management system.

Perfect for Microsoft and machine learning solution architects, software developers, and technical consultants, Machine Learning with Dynamics 365 and Power Platform also belongs in the libraries of chief technology officers looking for an authoritative reference on the implementation of machine learning to solve modern business problems.