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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

Chapter 12: Training a Model with Azure Machine Learning

Throughout this book, we have explored many of the features in Power BI that allow us to apply machine learning without having to train a model. However, you may still encounter a situation where it is necessary to train your model on your data.

To train a model and integrate it easily with Power BI, you can use Azure Machine Learning (Azure ML). In this chapter, we'll learn how we can use the Azure ML service to create a machine learning model and deploy it to an endpoint. This endpoint can then be integrated with Power BI to get predictions on the data residing in Power BI.

In this chapter, we're going to cover the following topics:

  • Understanding how to train a model
  • Working with Azure Machine Learning
  • Training a model with Azure Machine Learning Designer
  • Deploying a model for batch or real-time predictions
  • Integrating an endpoint with Power BI to generate predictions

As Azure...

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