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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

Deploying Data Ingestion and Transformation Components to the Power BI Cloud Service

In Chapter 6, you finalized the base design for your ML queries, which will be migrated to the Power BI cloud service to train and test ML models. You focused on using R and Python visuals within Power BI Desktop to visualize and evaluate potential features for these ML queries.

This chapter will be an adventure into the Power BI cloud service. You will migrate your work in Power Query to dataflows and publish your Power BI dataset and report to a Power BI workspace. The process of moving these queries is a repetitive but necessary step for your end-to-end project, the workshop that runs in parallel with this book. An experienced Power BI developer can probably move through this chapter quickly by cutting and pasting the M queries from GitHub. By the end of this chapter, your content will be fully migrated to the Power BI cloud service and ready for Power BI ML.

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Programming languages
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Power BI Machine Learning and OpenAI
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