Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Artificial Intelligence with Power BI
  • Table Of Contents Toc
  • Feedback & Rating feedback
Artificial Intelligence with Power BI

Artificial Intelligence with Power BI

By : Diepeveen
4.7 (9)
close
close
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)
close
close
1
Part 1: AI Fundamentals
5
Part 2: Out-of-the-Box AI Features
13
Part 3: Create Your Own Models

Summary

In this chapter, we learned how to quickly view important metrics to understand the contents of your data by generating summary statistics with data profiling tools (Column quality, Column distribution, and Column profile) in the Power Query Editor. We then discussed the many different visualizations that can be used to explore your data, such as line, bar, column, and scatter charts. We used a Python visual and learned how to create histograms and box plots with the matplotlib library. All these tools will help you to understand your data, to learn whether it is a representative dataset that you should continue to use, and as you get your first insights from your data, you will be able to judge how it can be used for different AI projects.

Now that we understand the content of our data, we know that there are some problems to fix before we move on to AI. To ensure data quality, we need to fix our outliers, missing data, and imbalanced data that can negatively influence...

Visually different images
CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Artificial Intelligence with Power BI
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist download Download options font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon