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

Python

Concepts

GPT/LLMs

Author (1):

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

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