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Power BI Machine Learning and OpenAI

You're reading from   Power BI Machine Learning and OpenAI Explore data through business intelligence, predictive analytics, and text generation

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781837636150
Length 308 pages
Edition 1st Edition
Languages
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Author (1):
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Greg Beaumont Greg Beaumont
Author Profile Icon Greg Beaumont
Greg Beaumont
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Toc

Table of Contents (21) Chapters Close

Preface 1. Part 1: Data Exploration and Preparation
2. Chapter 1: Requirements, Data Modeling, and Planning FREE CHAPTER 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

To get the most out of this book

The Packt GitHub site affiliated with this book provides scripts and files for a comprehensive workshop to recreate everything in this book. The repository can be found at this link: https://github.com/PacktPublishing/Unleashing-Your-Data-with-Power-BI-Machine-Learning-and-OpenAI/. Basic Power BI tools that most Power BI professionals are already using, along with an OpenAI subscription, will facilitate the use of the GitHub repository.

Software/hardware covered in the book

Operating system requirements

Power BI Desktop – April 2023 or newer

Windows

Power BI cloud service

Web browser

Python – version compatible with Power BI Desktop

Windows

R – version compatible with Power BI Desktop

Windows

OpenAI

Web browser

Azure OpenAI (optional)

Web browser

From a licensing perspective, a workspace assigned to either Power BI Premium per User or Power BI Premium will be needed in the Power BI cloud service. Several chapters will also require a Power BI Pro license to follow along. For OpenAI, either an OpenAI or Azure subscription with access to OpenAI will be needed.

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

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