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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

Adding a Cognitive Services function to the solution

Finally, you decide to add more value to the deliverables by showcasing the Cognitive Services capabilities in Power BI. In both Power BI Desktop and Power BI dataflows, Cognitive Services is built in as part of the SaaS tool. Details about using Cognitive Services in Power BI can be found at this link: https://learn.microsoft.com/en-us/power-bi/connect-data/service-tutorial-use-cognitive-services.

Cognitive Services refers to Azure services that can be called using APIs to score data with standard ML models. These tools can score the sentiment of text, identify images, extract key phrases, detect emotion in pictures, and more. The following Cognitive Services features are native to Power BI at the time of writing this book:

  • Detect Language
  • Tag Images
  • Score Sentiment
  • Extract Key Phrases

For this final addition to the project, you will use the Score Sentiment function on the Remarks column of the FAA...

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