Artificial intelligence with power BI : take your data analytics skills to the next level by leveraging the AI capabilities in power BI / by Mary-Jo Diepeveen.

By:

Diepeveen, Mary-Jo [author]

Material type:

Computer fileLanguage: English Publication details: United Kingdom : Packt Publishing, 2022Description: 1 online resource (348, pages) : color illustrationsContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9781801814638 (e-book)

Subject(s):

LOC classification:

QA76.76 M52D54 2022

Online resources:

Contents:

1. Introducing AI in power BI -- 2. Exploring data in power BI -- 3. Data preparation -- II. Out-of-the-box AI features -- 4. Forecasting time-series data -- 5. Detecting anomalies in your data using power BI -- 6. Using natural language to explore data with the Q&A visual -- 7. Using cognitive services -- 8. Integrating natural language understanding with power BI -- 9. Integrating an interactive question and answering app into power BI -- 10. Getting insights from images with computer vision -- III. Create your own models -- 11. Using automated machine learning with azure and power BI --12. Training a model with azure machine learning --13. Responsible A

Summary: 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 will teach you how to make use of the many AI features available today in Power BI to quickly and easily enrich your data and gain better insights into patterns that can be found in your data. You’ll begin by understanding the benefits of AI and how it can be used in Power BI. Next, you’ll focus on exploring and preparing your data for building AI projects and then progress to using prominent AI features already available in Power BI, such as forecasting, anomaly detection, and Q&A. Later chapters will show you how to apply text analytics and computer vision within Power BI reports. This will help you create your own Q&A functionality in Power BI, which allows you to ask FAQs from another knowledge base and then integrate it with PowerApps. Toward the concluding chapters, you’ll be able to create and deploy AutoML models trained in Azure ML and consume them in Power Query Editor. After your models have been trained, you’ll work through principles such as privacy, fairness, and transparency to use AI responsibly. By the end of this book, you’ll have learned when and how to enrich your data with AI using the out-of-the-box AI capabilities in Power BI.

List(s) this item appears in: NEW Online E-Books 2023

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Holdings
Item type	Current library	Collection	Call number	Materials specified	Status	Notes	Date due	Barcode
Online E-Books	Ladislao N. Diwa Memorial Library Multimedia Section	Non-fiction	OEBP QA76.76 M52D54 2022 (Browse shelf(Opens below))		Available	PAV		OEBP000378
Compact Discs	Ladislao N. Diwa Memorial Library Multimedia Section	Non-fiction	EB QA76.76 M52D54 2022 (Browse shelf(Opens below))		Room use only	PAV		EB000378

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Include index

1. Introducing AI in power BI -- 2. Exploring data in power BI -- 3. Data preparation -- II. Out-of-the-box AI features -- 4. Forecasting time-series data -- 5. Detecting anomalies in your data using power BI
-- 6. Using natural language to explore data with the Q&A visual -- 7. Using cognitive services -- 8. Integrating natural language understanding with power BI -- 9. Integrating an interactive question and answering app into power BI -- 10. Getting insights from images with computer vision -- III. Create your own models -- 11. Using automated machine learning with azure and power BI --12. Training a model with azure machine learning --13. Responsible A

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 will teach you how to make use of the many AI features available today in Power BI to quickly and easily enrich your data and gain better insights into patterns that can be found in your data.
You’ll begin by understanding the benefits of AI and how it can be used in Power BI. Next, you’ll focus on exploring and preparing your data for building AI projects and then progress to using prominent AI features already available in Power BI, such as forecasting, anomaly detection, and Q&A. Later chapters will show you how to apply text analytics and computer vision within Power BI reports. This will help you create your own Q&A functionality in Power BI, which allows you to ask FAQs from another knowledge base and then integrate it with PowerApps. Toward the concluding chapters, you’ll be able to create and deploy AutoML models trained in Azure ML and consume them in Power Query Editor. After your models have been trained, you’ll work through principles such as privacy, fairness, and transparency to use AI responsibly.
By the end of this book, you’ll have learned when and how to enrich your data with AI using the out-of-the-box AI capabilities in Power BI.

Fund 164 CE-Logic Purchased November 9, 2022 OEBP000378 P. Roderno PHP 5,594.55
2022-11-1010 2022-9-1288

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