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Power BI Machine Learning and OpenAI

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
Concepts
Author (1):
Greg Beaumont Greg Beaumont
Profile icon Greg Beaumont

Table of Contents (21) Chapters

Preface Part 1: Data Exploration and Preparation
Chapter 1: Requirements, Data Modeling, and Planning Chapter 2: Preparing and Ingesting Data with Power Query Chapter 3: Exploring Data Using Power BI and Creating a Semantic Model Chapter 4: Model Data for Machine Learning in Power BI Part 2: Artificial Intelligence and Machine Learning Visuals and Publishing to the Power BI Service
Chapter 5: Discovering Features Using Analytics and AI Visuals Chapter 6: Discovering New Features Using R and Python Visuals Chapter 7: Deploying Data Ingestion and Transformation Components to the Power BI Cloud Service Part 3: Machine Learning in Power BI
Chapter 8: Building Machine Learning Models with Power BI Chapter 9: Evaluating Trained and Tested ML Models Chapter 10: Iterating Power BI ML models Chapter 11: Applying Power BI ML Models Part 4: Integrating OpenAI with Power BI
Chapter 12: Use Cases for OpenAI Chapter 13: Using OpenAI and Azure OpenAI in Power BI Dataflows Chapter 14: Project Review and Looking Forward Index Other Books You May Enjoy

Creating a Power BI workspace

Before we start importing content into the Power BI cloud service, you will need a workspace for the project. A workspace is a way to organize, secure, and govern content in the Power BI cloud service. For this project, you need a workspace that supports the use of both dataflows and ML, which at the time of writing requires either Power BI Premium with a Pro license or a Premium Per User license. If you do not have either of these licenses, you can still follow along with this book for learning purposes and explore the code samples in the Packt GitHub repository.

Workspaces can be extended to include integration with security capabilities, information protection, deployment pipelines for life cycle management, and more. This book will only cover how to create a basic workspace since extensive documentation about workspaces is available online. A tutorial for creating workspaces can be found at https://learn.microsoft.com/en-us/power-bi/collaborate...

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