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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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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

Lessons learned from the book and workshop

At the beginning of this book, you started with the objective to provide your leadership with tools to enable interactive analysis of the FAA Wildlife Strike data, in order to find insights about factors that influence incidents and make predictions about future possible wildlife strike incidents and associated costs. The primary goal of your project, predicting the future impact of FAA Wildlife Strikes, required building out Power BI ML models. Through the chapters of this book, you walked through the process, using content from the Packt GitHub repository, to plan out and implement an end-to-end project. Everything in this project was achieved using tools within Power BI or that were integrated with Power BI. A high-level summary of the artifacts you created in Power BI is shown in Figure 14.1:

Figure 14.1 – Summary of the artifacts created in Power BI in this book

Figure 14.1 – Summary of the artifacts created in Power BI in this book

The primary technical training for this...

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