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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

What this book covers

Chapter 1, Introducing AI in Power BI, introduces basic concepts associated with AI and Power BI.

Chapter 2, Exploring Data in Power BI, introduces some Power BI features to explore data as is often done in data science.

Chapter 3, Data Preparation, introduces some data requirements when implementing AI and how those requirements can be met within Power BI.

Chapter 4, Forecasting Time-Series Data, introduces forecasting as a data science method and how to use the built-in forecasting feature in Power BI.

Chapter 5, Detecting Anomalies in Your Data Using Power BI, introduces anomaly detection as a data science method and how to use the built-in anomaly detection feature in Power BI.

Chapter 6, Using Natural Language to Explore Data with the Q&A Visual, introduces natural language querying and how to use the built-in Q&A visual in Power BI.

Chapter 7, Using Cognitive Services, goes through the various AI models offered through Azure Cognitive Services and how they can be of use.

Chapter 8, Integrating Natural Language Understanding with Power BI, further explores Cognitive Services for Language and how to apply its models in Power BI.

Chapter 9, Integrating an Interactive Question and Answering App into Power BI, focuses on one of the Cognitive Services for Language models and how you can create a power app to create an interactive Q&A visual in Power BI.

Chapter 10, Getting Insights from Images with Computer Vision, further explores Cognitive Services for Vision and how to apply its models in Power BI.

Chapter 11, Using Automated Machine Learning with Azure and Power BI, introduces Azure Machine Learning and how to use its automated machine learning feature to quickly train multiple models. The best-performing model will be integrated with Power BI.

Chapter 12, Training a Model with Azure Machine Learning, covers how to train your own model in Azure Machine Learning, and how to integrate a model with Power BI.

Chapter 13, Responsible AI, discusses important considerations when working with AI to ensure its fair and responsible use.

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