Code: USD75OFF
This is the code repository for Unleashing Your Data with Power BI Machine Learning and OpenAI , published by Packt.
Embark on a data adventure and turn your raw data into meaningful insights
Microsoft Power BI is the ultimate solution for businesses looking to make data-driven decisions and unlocking the full potential of their data. Machine Learning with Microsoft Power BI and Azure OpenAI is designed for data scientists and BI professionals seeking to improve their existing solutions and workloads using OpenAI. The book explains the intricacies of the subject by using a workshop-style data story for data ingestion, data modeling, analytics, and predictive analytics with Power BI machine learning. Along the way, you’ll learn about the AI features, AI visuals, R/Python integration, and OpenAI integration. The workshop-style content allows you to practice all your learnings in real-life challenges and gain hands-on experience. Additionally, you'll get a step-by-step AI/ML understanding with replicable examples and references. From enhancing data visualizations to building a SaaS Power BI ML model, and integrating Azure OpenAI, this book will help you unlock new capabilities in Power BI. By the end of this book, you’ll be well-equipped to build an ML model in Power BI with OpenAI, plan projects for both BI and ML, understand R/Python visuals with Power BI, and introduce OpenAI into the solution.
This book covers the following exciting features:
- Discover best practices for implementing AI and ML capabilities in Power BI using OpenAI
- Understand how to integrate OpenAI and cognitive services into Power BI
- Explore how to build a SaaS auto ML model within Power BI
- Gain an understanding of R/Python integration with Power BI
- Enhance data visualizations for ML feature discovery
- Discover how to improve existing solutions and workloads using AI and ML capabilities in Power BI with OpenAI
- Acquire tips and tricks for successfully using AI and ML capabilities in Power BI using OpenAI
If you feel this book is for you, get your copy today!
All of the code is organized into folders.
The code will look like the following:
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(if [Struck Engine 2] = true then 1 else 0) +
(if [Struck Engine 3] = true then 1 else 0) +
(if [Struck Engine 4] = true then 1 else 0)
Following is what you need for this book: This book is for data science and BI professionals looking to expand their skill sets into Power BI machine learning and OpenAI. This book is also useful for data scientists, data analysts, and IT professionals who want to learn how to incorporate OpenAI into Power BI for advanced experience.
With the following software and hardware list you can run all code files present in the book (Chapter 1-14).
| Chapter | Software required | OS required |
|---|---|---|
| 1-6 | Power BI Desktop – April 2023 or newer | Windows |
| 7-13 | Power BI cloud service | Web Browser |
| 1-13 | Python – version compatible with Power BI Desktop Windows | Windows |
| 1-13 | R – version compatible with Power BI Desktop | Windows |
| 12-13 | OpenAI | Web Browser |
| 12-13 | Azure OpenAI | Web Browser |
Greg Beaumont is a Data Architect at Microsoft; Greg is an expert in solving complex problems and creating value for customers. With a focus 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. With years of experience in data architecture and a passion for innovation, Greg has a unique ability to identify and solve complex challenges. He is a trusted advisor to his customers and is always seeking new ways to drive progress and help organizations thrive. For more than 15 years, Greg has worked with healthcare customers who strive to improve patient outcomes and find opportunities for efficiencies. He is a veteran of the Microsoft data speaker network and has worked with hundreds of customers on their data management and analytics strategies.