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

Why subscribe?

20. Other Books You May Enjoy

Project Review and Looking Forward

Chapter 13 of this book was an adventure to the cutting edge of technology, as you integrated OpenAI and Azure OpenAI into your Power BI project using the FAA Wildlife Strike data. Over the course of this book, you have walked through a project for ingesting raw data, transforming and prepping the data, building a BI solution for analytics, using analytics to discover data features for predictive ML models, building those ML models, scoring new data with the ML models, and adding new, robust descriptive and summarization capabilities to the solution using LLMs from OpenAI and Azure OpenAI. In Chapters 12 and 13, you augmented and improved text using OpenAI, too. All of this was accomplished, from end to end, using Power BI.

In this chapter, you will review what you have accomplished throughout the book and project, revise important key concepts, and then discover some suggestions for future iterations of the project and your career as a data professional...