MARC details
| 000 -LEADER |
|---|
| fixed length control field |
04255nam a2200313 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
CSPC |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20250922143042.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
250911s2022 -uka 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781801814638 |
| 040 ## - CATALOGING SOURCE |
|---|
| Transcribing agency |
CSPC |
| Original cataloging agency |
CSPC |
| Language of cataloging |
eng |
| Description conventions |
rda |
| 050 04 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA76.76.M52 |
| Item number |
.D54 2022 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.3 |
| Item number |
D565a |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Diepeveen, Mary-Jo, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Artificial intelligence with power BI : |
| Remainder of title |
take your data analytics skills to the next level by leveraging the AI capabilities in power BI / |
| Statement of responsibility, etc. |
Mary-Jo Diepeveen. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Birmingham, UK : |
| Name of producer, publisher, distributor, manufacturer |
Packt Publishing, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2022. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xv, 330 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm. |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| Media type term |
unmediated |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type term |
volume |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Includes index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Part 1: AI fundamentals -- Exploring data in power BI -- Data preparation -- Part 2: Out-of-the-box AI features -- Forecasting time-series data -- Detecting anomalies in your data using power BI -- Using natural language to explore data with the Q&A visual -- Using cognitive services -- Integrating natural language understanding with power BI -- Integrating an interactive question and answering app into power BI -- Getting insights from images with computer version -- Part 3: Create your own models -- Using automated machine learning with azure and power BI -- Training a model with azure machine learning -- Responsible AI. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
"Learn how to create your own AI model and consume it in your Power BI reports to gain better insights from your data Key Features Learn how to gain better insights from your data by applying different AI techniques within Power BI Save time by creating machine learning models independently and integrating them within your BI reports Understand how to combine Cognitive Services and Azure Machine Learning together with Power BI Book Description 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. What you will learn 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 Who this book is for 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." |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Business |
| General subdivision |
Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Computer science. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Suppress in OPAC |
No |
| Koha item type |
Books |
| Classification part |
006.3 |
| Item part |
D565a |
| Call number prefix |
GRD |
| Call number suffix |
2022 |
