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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

Product type Paperback

Published in May 2023

Publisher Packt

ISBN-13 9781837636150

Length 308 pages

Edition 1st Edition

Languages

Python

Tools

Power BI

Concepts

Business Intelligence

Author (1):

Greg Beaumont

View More author details

Table of Contents (21) Chapters

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

Why subscribe?

20. Other Books You May Enjoy

Technical requirements

For this chapter, you’ll need the following resources:

Power BI Desktop April 2023 or later (no licenses required)
FAA Wildlife Strike data files from either the FAA website or the Packt GitHub repo
R installed on your local computer: https://learn.microsoft.com/en-us/power-bi/create-reports/desktop-r-visuals
Python installed on your local computer: https://learn.microsoft.com/en-us/power-bi/connect-data/desktop-python-visuals

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Authors (1)

Greg Beaumont

Greg Beaumont

Greg Beaumont is a data architect at Microsoft, where he enjoys identifying and solving complex problems backed by his experience in data architecture and a passion for innovation. Focusing on the healthcare industry, Greg works closely with customers to plan enterprise analytics strategies, evaluate new tools and products, conduct training sessions and hackathons, and architect solutions that improve the quality of care and reduce costs. He strives to be a trusted advisor to his customers and is always seeking new ways to drive progress and help organizations thrive. He is a veteran of the Microsoft data speaker network and has worked with hundreds of customers on their data management and analytics strategies.

See other products by Greg Beaumont

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