Book description
This book explains how you can enrich the data you have loaded into Power BI Desktop by accessing a suite of Artificial Intelligence (AI) features. These AI features are built into Power BI Desktop and help you to gain new insights from existing data. Some of the features are automated and are available to you at the click of a button or through writing Data Analysis Expressions (DAX). Other features are available through writing code in either the R, Python, or M languages. This book opens up the entire suite of AI features to you with clear examples showing when they are best applied and how to invoke them on your own datasets.No matter if you are a business user, analyst, or data scientist – Power BI has AI capabilities tailored to you. This book helps you learn what types of insights Power BI is capable of delivering automatically. You will learn how to integrate and leverage the use of the R and Python languages for statistics, how to integrate with Cognitive Services andAzure Machine Learning Services when loading data, how to explore your data by asking questions in plain English ... and more! There are AI features for discovering your data, characterizing unexplored datasets, and building what-if scenarios.
- Ask questions in natural language and get answers from your data
- Let Power BI explain why a certain data point differs from the rest
- Have Power BI show key influencers over categories of data
- Access artificial intelligence features available in the Azure cloud
- Walk the same drill down path in different parts of your hierarchy
- Load visualizations to add smartness to your reports
- Simulate changes in data and immediately see the consequences
- Know your data, even before you build your first report
- Create new columns by giving examples of the data that you need
- Transform and visualize your data with the help of R and Python scripts
Table of contents
- Cover
- Front Matter
- 1. Asking Questions in Natural Language
- 2. The Insights Feature
- 3. Discovering Key Influencers
- 4. Drilling Down and Decomposing Hierarchies
- 5. Adding Smart Visualizations
- 6. Experimenting with Scenarios
- 7. Characterizing a Dataset
- 8. Creating Columns from Examples
- 9. Executing R and Python Visualizations
- 10. Transforming Data with R and Python
- 11. Execute Machine Learning Models in the Azure Cloud
- Back Matter
Product information
- Title: Self-Service AI with Power BI Desktop: Machine Learning Insights for Business
- Author(s):
- Release date: September 2020
- Publisher(s): Apress
- ISBN: 9781484262313
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