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Artificial Intelligence with Power BI
By :
Artificial Intelligence with Power BI
By:
Overview of this book
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 by 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.
By 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.
Table of Contents (18 chapters)
Preface
Part 1: AI Fundamentals
Chapter 1: Introducing AI in Power BI
Chapter 2: Exploring Data in Power BI
Chapter 3: Data Preparation
Part 2: Out-of-the-Box AI Features
Chapter 4: Forecasting Time-Series Data
Chapter 5: Detecting Anomalies in Your Data Using Power BI
Chapter 6: Using Natural Language to Explore Data with the Q&A Visual
Chapter 7: Using Cognitive Services
Chapter 8: Integrating Natural Language Understanding with Power BI
Chapter 9: Integrating an Interactive Question and Answering App into Power BI
Chapter 10: Getting Insights from Images with Computer Vision
Part 3: Create Your Own Models
Chapter 11: Using Automated Machine Learning with Azure and Power BI
Chapter 12: Training a Model with Azure Machine Learning
Chapter 13: Responsible AI
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