MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03514cam a2200325 i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
22442398 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
Ost |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20250319071053.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
220224s2023 flua bf 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2022000102 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781774638682 |
| Qualifying information |
(hardcover) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781774638699 |
| Qualifying information |
(paperback) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| Cancelled/invalid ISBN |
9781003277330 |
| Qualifying information |
(ebook) |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
BSULIB |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
BSU |
| Modifying agency |
BSU |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
pcc |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
Q325.5 |
| Item number |
.H3623 2023 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
226.3 |
| Edition number |
23 |
| Item number |
BEA |
| 245 00 - TITLE STATEMENT |
|---|
| Title |
Handbook of research on machine learning : |
| Remainder of title |
foundations and applications / |
| Statement of responsibility, etc |
edited by Monika Mangla, PhD, Subhash K. Shinde, PhD, Vaishali Mehta, PhD, Nonita Sharma, PhD, Sachi Nandan Mohanty, PhD. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
First edition. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
USA |
| Name of publisher, distributor, etc |
Baker Academic |
| Date of publication, distribution, etc |
c2011 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxx, 564 pages : |
| Other physical details |
illustrations (some color) ; |
| Dimensions |
24 cm |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"With over 250 figures, tables, and charts, this volume takes the reader on a technological voyage of machine learning (ML) advancements, highlighting the systematic changes in algorithms, challenges, and constraints. The technological advancements in the ML arena have transformed and revolutionized several fields, including transportation, agriculture, finance, weather monitoring, and others. This book brings together researchers, authors, industrialists, and academicians to cover a vast selection of topics in ML, starting with the rudiments of machine learning approaches and going on to specific applications in healthcare and industrial automation. The first section the Handbook of Research on Machine Learning: Foundations and Applications provides an overview of the ethics, security and privacy issues, future directions, and challenges in machine learning. The section also presents a systematic review of deep learning techniques and provides an understanding of building generative adversarial networks. The second section of the volume focuses on the applications of machine learning in healthcare, emphasizing its current status, analytics, and future prospects. Chapters explore predictive data analytics for health issues, the detection of infectious diseases in human bodies, time series forecasting techniques for infectious disease prediction, as well as a review of medical analytics using social media. Section 3 adds a macro dimension to the book by highlighting the industrial applications of machine learning, such as in the steel industry, for urban information retrieval, in garbage detection, in measuring air pollution, for stock market predictions, for underwater fish detection, as a fake news predictor, and more. The plethora of topics covered in the Handbook of Research on Machine Learning: Foundations and Applications will give readers a thorough look into the vast applications of machine learning. It will familiarize researchers and scientists as well as faculty and students with the latest trends in machine learning starting from rudiments and then delving into its applications in healthcare and other industries"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning. |
| 9 (RLIN) |
25097 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Mangla, Monika, |
| Relator term |
editor. |
| 9 (RLIN) |
25098 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Display text |
Online version: |
| Title |
Handbook of research on machine learning |
| Edition |
First edition |
| Place, publisher, and date of publication |
Palm Bay, FL, USA : Apple Academic Press, 2022 |
| International Standard Book Number |
9781003277330 |
| Record control number |
(DLC) 2022000103 |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
cbc |
| c |
orignew |
| d |
1 |
| e |
ecip |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
