Artificial Intelligence with Power BI: Take your data analytics skills to the next level by leveraging the AI capabilities in Power BI
by Mary-Jo Diepeveen
Publisher Finelybook 出版社：Packt Publishing (April 29, 2022)
pages 页数：348 pages
Learn how to create your own AI model and consume it in your Power BI reports to gain better insights from your data
Learn how to gain better insights from your data Author: applying different AI techniques within Power BI
Save time Author: creating machine learning models independently and integrating them within your BI reports
Understand how to combine Cognitive Services and Azure Machine Learning together with Power BI
The artificial intelligence (AI) capabilities in Power BI enable organizations to quickly and easily gain more intelligent insights from unstructured and structured data.
This book will teach you how to make use of the many AI features available today in Power BI to quickly and easily enrich your data and gain better insights into patterns that can be found in your data.
You’ll begin Author: understanding the benefits of AI and how it can be used in Power BI. Next, you’ll focus on exploring and preparing your data for building AI projects and then progress to using prominent AI features already available in Power BI, such as forecasting, anomaly detection, and Q&A. Later chapters will show you how to apply text analytics and computer vision within Power BI reports. This will help you create your own Q&A functionality in Power BI, which allows you to ask FAQs from another knowledge base and then integrate it with PowerApps. Toward the concluding chapters, you’ll be able to create and deploy AutoML models trained in Azure ML and consume them in Power Query Editor. After your models have been trained, you’ll work through principles such as privacy, fairness, and transparency to use AI responsibly.
Author: the end of this book, you’ll have learned when and how to enrich your data with AI using the out-of-the-box AI capabilities in Power BI.
What you will learn
Apply techniques to mitigate bias and handle outliers in your data
Prepare time series data for forecasting in Power BI
Prepare and shape your data for anomaly detection
Use text analytics in Power Query Editor
Integrate QnA Maker with PowerApps and create an app
Train your own models and identify the best one with AutoML
Integrate an Azure ML workspace with Power BI and use endpoints to generate predictions