//]]>

Advanced analytics and deep learning models / (Record no. 35733)

000 -LEADER
fixed length control field 03768cam a2200433 i 4500
003 - CONTROL NUMBER IDENTIFIER
control field jomaaum
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230920104142.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cnu---unuuu
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220508t20222022njua ob 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119791751
International Standard Book Number 1119791758
International Standard Book Number 9781119792413
International Standard Book Number 9781119792437
International Standard Book Number 1119792436
International Standard Book Number 111979241X
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q325.73
Item number .A38 2022
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Edition number 23
Item number A244
245 00 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Advanced analytics and deep learning models /
Statement of responsibility, etc edited by Archana Mire, Shaveta Malik and Amit Kumar Tyagi
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Hoboken, NJ :
Name of publisher, distributor, etc John Wiley & Sons,
Date of publication, distribution, etc 2022.
300 ## - PHYSICAL DESCRIPTION
Extent xx, 396 p. :
Other physical details ill. ;
Dimensions 24 cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index
506 ## - RESTRICTIONS ON ACCESS NOTE
Terms governing access Available to OhioLINK libraries
520 ## - SUMMARY, ETC.
Summary, etc Advanced Analytics and Deep Learning Models The book provides readers with an in-depth understanding of concepts and technologies related to the importance of analytics and deep learning in many useful real-world applications such as e-healthcare, transportation, agriculture, stock market, etc. Advanced analytics is a mixture of machine learning, artificial intelligence, graphs, text mining, data mining, semantic analysis. It is an approach to data analysis. Beyond the traditional business intelligence, it is a semi and autonomous analysis of data by using different techniques and tools. However, deep learning and data analysis both are high centers of data science. Almost all the private and public organizations collect heavy amounts of data, i.e., domain-specific data. Many small/large companies are exploring large amounts of data for existing and future technology. Deep learning is also exploring large amounts of unsupervised data making it beneficial and effective for big data. Deep learning can be used to deal with all kinds of problems and challenges that include collecting unlabeled and uncategorized raw data, extracting complex patterns from a large amount of data, retrieving fast information, tagging data, etc. This book contains 16 chapters on artificial intelligence, machine learning, deep learning, and their uses in many useful sectors like stock market prediction, a recommendation system for better service selection, e-healthcare, telemedicine, transportation. There are also chapters on innovations and future opportunities with fog computing/cloud computing and artificial intelligence. Audience Researchers in artificial intelligence, big data, computer science, and electronic engineering, as well as industry engineers in healthcare, telemedicine, transportation, and the financial sector. The book will also be a great source for software engineers and advanced students who are beginners in the field of advanced analytics in deep learning
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
Topical term or geographic name as entry element Big data.
9 (RLIN) 42765
Topical term or geographic name as entry element Deep learning (Machine learning)
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Malik, Shaveta,
Dates associated with a name 1987-
Relator term editor
9 (RLIN) 45874
Personal name Mire, Archana,
Relator term editor
9 (RLIN) 45875
Personal name Tyagi, Amit Kumar,
Relator term editor
9 (RLIN) 45876
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Ohio Library and Information Network.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Print version:
International Standard Book Number 1119791758
-- 9781119791751
Record control number (OCoLC)1252050379
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified OhioLINK
Public note Connect to resource
Uniform Resource Identifier https://rave.ohiolink.edu/ebooks/ebc2/9781119792437
Materials specified Wiley Online Library
Public note Connect to resource
Uniform Resource Identifier https://onlinelibrary.wiley.com/doi/book/10.1002/9781119792437
Materials specified Wiley Online Library
Public note Connect to resource (off-campus)
Uniform Resource Identifier http://proxy.ohiolink.edu:9099/login?url=https://onlinelibrary.wiley.com/doi/book/10.1002/9781119792437
Materials specified Safari Books Online
Public note Connect to resource
Uniform Resource Identifier https://learning.oreilly.com/library/view/~/9781119791751/?ar
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Lost status Cost, normal purchase price Withdrawn status Source of acquisition Cost, replacement price Damaged status Barcode Current location Public note Full call number
2023-09-20AUM Main Library2023-09-20 2023-09-20 Book 106.00 بنك الكتب الطبية والأكاديمية97.98 AUM-026117AUM Main Libraryinv 202301028006.31 A244
Languages: 
English |
العربية