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Artificial Intelligence with Power BI

Artificial Intelligence with Power BI

By : Diepeveen
4.7 (9)
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Artificial Intelligence with Power BI

Artificial Intelligence with Power BI

4.7 (9)
By: Diepeveen

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)
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1
Part 1: AI Fundamentals
5
Part 2: Out-of-the-Box AI Features
13
Part 3: Create Your Own Models

Chapter 11: Using Automated Machine Learning with Azure and Power BI

Training your own model can be a daunting task. You can try out many different configurations to train a model and identify the best one with automated machine learning (AutoML). Azure Machine Learning (Azure ML) allows you to use AutoML for some common ML tasks. After training a model, you can integrate it with Power BI.

Other tools offer similar features to Azure ML; however, we'll focus on Azure ML in this book as the integration of trained models with Power BI is easiest with Azure thanks in part to built-in Power BI features to consume the trained models.

In this chapter, we'll cover the following main topics to get an introduction to AutoML:

  • Understanding AutoML
  • Creating an AutoML experiment in Azure ML
  • Deploying a model to an endpoint
  • Integrating the model with Power BI

After going through this chapter, you'll understand what AutoML can be used for. There will...

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Artificial Intelligence with Power BI
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