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Artificial Intelligence with Power BI

You're reading from   Artificial Intelligence with Power BI Take your data analytics skills to the next level by leveraging the AI capabilities in Power BI

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781801814638
Length 348 pages
Edition 1st Edition
Languages
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Author (1):
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Mary-Jo Diepeveen Mary-Jo Diepeveen
Author Profile Icon Mary-Jo Diepeveen
Mary-Jo Diepeveen
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Table of Contents (18) Chapters Close

Preface 1. Part 1: AI Fundamentals
2. Chapter 1: Introducing AI in Power BI FREE CHAPTER 3. Chapter 2: Exploring Data in Power BI 4. Chapter 3: Data Preparation 5. Part 2: Out-of-the-Box AI Features
6. Chapter 4: Forecasting Time-Series Data 7. Chapter 5: Detecting Anomalies in Your Data Using Power BI 8. Chapter 6: Using Natural Language to Explore Data with the Q&A Visual 9. Chapter 7: Using Cognitive Services 10. Chapter 8: Integrating Natural Language Understanding with Power BI 11. Chapter 9: Integrating an Interactive Question and Answering App into Power BI 12. Chapter 10: Getting Insights from Images with Computer Vision 13. Part 3: Create Your Own Models
14. Chapter 11: Using Automated Machine Learning with Azure and Power BI 15. Chapter 12: Training a Model with Azure Machine Learning 16. Chapter 13: Responsible AI 17. Other Books You May Enjoy

Algorithms used for forecasting

To properly make use of a machine learning technique such as forecasting, we need to understand how it works. Just making sure we have time-series data is not enough to get accurate predictions in Power BI. We need to understand the limitations and possibilities of the forecasting feature in Power BI to ensure that our results make sense. We'll first discuss how forecasting can be calculated, after which we will describe when we should use this feature in Power BI, based on the limitations and possibilities the underlying technique gives us.

The reason why some are skeptical of using an out-of-the-box feature such as forecasting in Power BI is because it is unclear what is actually happening under the hood. This kind of feature is often described as a black-box model – we can't see how the model is trained and how it creates predictions. Unfortunately, this is the intellectual property of Power BI and Microsoft and is, therefore,...

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