This is the code repository for Artificial Intelligence with Power BI, published by Packt.
Take your data analytics skills to the next level by leveraging the AI capabilities in 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 covers the following exciting features:
- 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
If you feel this book is for you, get your copy today!
All of the code is organized into folders.
The code will look like the following:
import matplotlib
dataset.boxplot("Life Ladder", showmeans=True,
showfliers=False)
plt.show()
Following is what you need for this book: This artificial intelligence BI book is for data analysts and BI developers who want to explore advanced analytics or artificial intelligence possibilities with their data. Prior knowledge of Power BI will help you get the most out of this book.
With the following software and hardware list you can run all code files present in the book (Chapter 1-13).
| Chapter | Software required | OS required |
|---|---|---|
| 1-13 | Power BI Desktop | Windows, Mac OS X, and Linux (Any) |
| 1-13 | Azure Subscription, Preferably | Windows, Mac OS X, and Linux (Any) |
| associate with a Microsoft account |
Not all chapters' walkthroughs require an Azure subscription. You'll be informed in each chapter when you need access to Azure and instructions on how to use it are included
We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.
Mary-Jo Diepeveen is an AI expert at Microsoft who focuses primarily on creating educational content around data and AI. Mary-Jo's passion for AI stems from her experience in neuroscience, where collecting and analyzing brain data to understand unconscious behavioral patterns led to an interest in machine learning and AI. This interest has continued to grow during her years at Microsoft, and she is often invited to talk and inspire others to get involved in tech.
If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.
Simply click on the link to claim your free PDF.