Machine Learning - Advanced Techniques and Emerging Applications (Record no. 65468)

MARC details
000 -LEADER
fixed length control field 02780naaaa2200313uu 4500
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/52515
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220220043634.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number intechopen.69783
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781789237535
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781789237528
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.5772/intechopen.69783
Terms of availability doi
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title English
042 ## - AUTHENTICATION CODE
Authentication code dc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Hamed Farhadi
Relationship auth
245 10 - TITLE STATEMENT
Title Machine Learning - Advanced Techniques and Emerging Applications
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. IntechOpen
Date of publication, distribution, etc. 2018
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (230 p.)
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
Source of term star
Standardized terminology for access restriction Unrestricted online access
520 ## - SUMMARY, ETC.
Summary, etc. The volume of data that is generated, stored, and communicated across different industrial sections, business units, and scientific research communities has been rapidly expanding. The recent developments in cellular telecommunications and distributed/parallel computation technology have enabled real-time collection and processing of the generated data across different sections. On the one hand, the internet of things (IoT) enabled by cellular telecommunication industry connects various types of sensors that can collect heterogeneous data. On the other hand, the recent advances in computational capabilities such as parallel processing in graphical processing units (GPUs) and distributed processing over cloud computing clusters enabled the processing of a vast amount of data. There has been a vital need to discover important patterns and infer trends from a large volume of data (so-called Big Data) to empower data-driven decision-making processes. Tools and techniques have been developed in machine learning to draw insightful conclusions from available data in a structured and automated fashion. Machine learning algorithms are based on concepts and tools developed in several fields including statistics, artificial intelligence, information theory, cognitive science, and control theory. The recent advances in machine learning have had a broad range of applications in different scientific disciplines. This book covers recent advances of machine learning techniques in a broad range of applications in smart cities, automated industry, and emerging businesses.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction All rights reserved
-- http://oapen.org/content/about-rights
546 ## - LANGUAGE NOTE
Language note English
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Physical Sciences
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Engineering and Technology
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Computer and Information Science
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Artificial Intelligence
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Machine Learning
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://www.intechopen.com/books/machine-learning-advanced-techniques-and-emerging-applications">https://www.intechopen.com/books/machine-learning-advanced-techniques-and-emerging-applications</a>
Access status 0
Public note DOAB: download the publication
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/52515">https://directory.doabooks.org/handle/20.500.12854/52515</a>
Access status 0
Public note DOAB: description of the publication

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