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Power BI Machine Learning and OpenAI

You're reading from  Power BI Machine Learning and OpenAI

Product type Book
Published in May 2023
Publisher Packt
ISBN-13 9781837636150
Pages 308 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Greg Beaumont Greg Beaumont
Profile icon Greg Beaumont
LinkedIn
Greg Beaumont is a data architect at Microsoft, where he enjoys identifying and solving complex problems backed by his experience in data architecture and a passion for innovation. Focusing on the healthcare industry, Greg works closely with customers to plan enterprise analytics strategies, evaluate new tools and products, conduct training sessions and hackathons, and architect solutions that improve the quality of care and reduce costs. He strives to be a trusted advisor to his customers and is always seeking new ways to drive progress and help organizations thrive. He is a veteran of the Microsoft data speaker network and has worked with hundreds of customers on their data management and analytics strategies.
See other products by Greg Beaumont

Table of Contents (21) Chapters

Preface 1. Part 1: Data Exploration and Preparation
2. Chapter 1: Requirements, Data Modeling, and Planning 3. Chapter 2: Preparing and Ingesting Data with Power Query 4. Chapter 3: Exploring Data Using Power BI and Creating a Semantic Model 5. Chapter 4: Model Data for Machine Learning in Power BI 6. Part 2: Artificial Intelligence and Machine Learning Visuals and Publishing to the Power BI Service
7. Chapter 5: Discovering Features Using Analytics and AI Visuals 8. Chapter 6: Discovering New Features Using R and Python Visuals 9. Chapter 7: Deploying Data Ingestion and Transformation Components to the Power BI Cloud Service 10. Part 3: Machine Learning in Power BI
11. Chapter 8: Building Machine Learning Models with Power BI 12. Chapter 9: Evaluating Trained and Tested ML Models 13. Chapter 10: Iterating Power BI ML models 14. Chapter 11: Applying Power BI ML Models 15. Part 4: Integrating OpenAI with Power BI
16. Chapter 12: Use Cases for OpenAI 17. Chapter 13: Using OpenAI and Azure OpenAI in Power BI Dataflows 18. Chapter 14: Project Review and Looking Forward 19. Index 20. Other Books You May Enjoy

Technical requirements

The requirements are slightly different for this chapter:

  • An account with the original open source OpenAI: https://openai.com/.
  • Optional – Azure OpenAI in your Azure subscription: https://azure.microsoft.com/en-us/products/cognitive-services/openai-service. The book is written so that this is optional since it is not available to everyone at the time of publication.
  • FAA Wildlife Strike data files from either the FAA website or the Packt GitHub site.
  • A Power BI Pro license.
  • One of the following Power BI licensing options for access to Power BI dataflows:
    • Power BI Premium
    • Power BI Premium Per User
  • One of the following options for getting data into the Power BI cloud service:
    • Microsoft OneDrive (with connectivity to the Power BI cloud service)
    • Microsoft Access + Power BI Gateway
    • Azure Data Lake (with connectivity to the Power BI cloud service)
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Authors (1)

Profile icon Greg Beaumont
LinkedIn
Greg Beaumont is a data architect at Microsoft, where he enjoys identifying and solving complex problems backed by his experience in data architecture and a passion for innovation. Focusing on the healthcare industry, Greg works closely with customers to plan enterprise analytics strategies, evaluate new tools and products, conduct training sessions and hackathons, and architect solutions that improve the quality of care and reduce costs. He strives to be a trusted advisor to his customers and is always seeking new ways to drive progress and help organizations thrive. He is a veteran of the Microsoft data speaker network and has worked with hundreds of customers on their data management and analytics strategies.
Read more
See other products by Greg Beaumont

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