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Power BI Machine Learning and OpenAI

Power BI Machine Learning and OpenAI

By : Greg Beaumont
4.9 (8)
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Power BI Machine Learning and OpenAI

Power BI Machine Learning and OpenAI

4.9 (8)
By: Greg Beaumont

Overview of this book

Microsoft Power BI is the ultimate solution for businesses looking to make data-driven decisions and unlock the full potential of their data. Unleashing Your Data with Power BI Machine Learning and OpenAI is designed for data scientists and BI professionals seeking to improve their existing solutions and workloads using AI. 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 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 gain an understanding of AI/ML, step by step, with replicable examples and references. From enhancing data visualizations to building SaaS Power BI ML models, 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 ML models in Power BI, plan projects for both BI and ML, understand R/Python visuals with Power BI, and introduce OpenAI to enhance your analytics solutions.
Table of Contents (21 chapters)
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1
Part 1: Data Exploration and Preparation
6
Part 2: Artificial Intelligence and Machine Learning Visuals and Publishing to the Power BI Service
10
Part 3: Machine Learning in Power BI
15
Part 4: Integrating OpenAI with Power BI

Summary

In this chapter, you have delved into the fundamental concepts associated with OpenAI and Microsoft Azure OpenAI, and how these platforms can be employed to generate and summarize text. Moreover, you have explored several options for integrating GPT models from both OpenAI and Azure OpenAI into your Power BI solution using FAA Wildlife Strike data. Following a careful evaluation process, it has been determined that the text-davinci-003 GPT model will be utilized for the summarization of remarks present in FAA Wildlife Strike data reports, and for generating novel descriptive information about airplanes within the reports.

Chapter 13 will be dedicated to the implementation of functions within Power BI dataflows, enabling the seamless calling of OpenAI and Azure OpenAI REST APIs for data. These APIs will facilitate the successful implementation of your summarization and descriptive generation use cases, thereby providing new capabilities for your solution to address the challenges...

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