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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 designed key values for tables in a Power BI dataset, created a Power BI dataset, and added measures to the Power BI dataset. You have progressed from exploring and understanding raw data to working with a multidimensional dataset in Power BI that contains runtime measures. You now have the basic foundation for analytics and building an analytics report.

In the next chapter, you will build an analytical report that dives into the data and uncovers features that you will earmark for machine learning in Power BI. As you enrich the analytical report and discover new features, you will also begin to build out the datasets in Power Query that will be used to train and test using Power BI ML.

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Tech Concepts
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Programming languages
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