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(as of Oct 01,2024 07:14:43 UTC – Details)
From the Publisher
What makes this book different from other Power BI machine learning books?
Unlike similar resources that feature training data, the data used for this book is real data from the Federal Aviation Administration (FAA), providing an example of real-world data.
This book also features a unique step-by-step GitHub repo that follows the examples in the chapters, which enables you to recreate the content from those readings for hands-on learning. At the same time, your journey is structured so that you can progress from raw data to ML and OpenAI, learning via a real-world end-to-end data experience.
How has your experience helped you write this book?
I have worked on many different real-world data projects with hundreds of customers, in many different industries. Based on my experience, two common threads among data professionals are the need for time and easily accessible training materials.
Data professionals are frequently pressured to deliver new content on aggressive timelines, yet the rapidly changing technologies in the data space require frequent continuous training. One of my goals for this book was to create easily consumable workshop-style content that will help readers skill up quickly, on-demand, and in a format that is enjoyable to read.
How can Power BI Machine Learning and OpenAI help you to leverage Power BI and OpenAI together?
Power BI professionals are usually accustomed to working with structured data that exists in rows and columns. This book provides examples on how you can expand your existing use cases to include generative AI for added value.
I’ve chosen the workshop format with the GitHub repo to help readers implement these examples for hands-on experience, and with both OpenAI and Microsoft Azure OpenAI. These examples will also contain architectural patterns to help you leverage OpenAI for summarization and text generation for numerous instances in historical databases.
How does this book cater to both beginners and more experienced practitioners in the field of data science and machine learning?
The Power BI ML tools in this book are no-code SaaS tools that are designed for beginners. The book is a great way for BI professionals to learn about ML and related use cases, while experienced data science professionals will learn more about Power BI and some of the tools that can be used for reporting and prepping data for data science projects.
The end-to-end workshop-style approach with an affiliated Git repo will give you hands-on experience with ML and help you build a project that you can show in interviews and on resumes.
Publisher : Packt Publishing (May 31, 2023)
Language : English
Paperback : 308 pages
ISBN-10 : 183763615X
ISBN-13 : 978-1837636150
Item Weight : 1.19 pounds
Dimensions : 9.25 x 7.52 x 0.65 inches