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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

Lessons learned from the book and workshop

At the beginning of this book, you started with the objective to provide your leadership with tools to enable interactive analysis of the FAA Wildlife Strike data, in order to find insights about factors that influence incidents and make predictions about future possible wildlife strike incidents and associated costs. The primary goal of your project, predicting the future impact of FAA Wildlife Strikes, required building out Power BI ML models. Through the chapters of this book, you walked through the process, using content from the Packt GitHub repository, to plan out and implement an end-to-end project. Everything in this project was achieved using tools within Power BI or that were integrated with Power BI. A high-level summary of the artifacts you created in Power BI is shown in Figure 14.1:

Figure 14.1 – Summary of the artifacts created in Power BI in this book

Figure 14.1 – Summary of the artifacts created in Power BI in this book

The primary technical training for this...

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