Machine learning and big data : (Record no. 69350)

000 -LEADER
fixed length control field 02967cam a22005778i 4500
001 - CONTROL NUMBER
control field on1193559419
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220711203619.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200901t20202020nju ob 001 0 eng
019 ## -
-- 1198092075
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781119654797
-- (epub)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1119654793
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781119654810
-- (adobe pdf)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1119654815
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- (hardback)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781119654834
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1119654831
-- (electronic bk.)
082 00 - CLASSIFICATION NUMBER
Call Number 006.3/1
245 00 - TITLE STATEMENT
Title Machine learning and big data :
Sub Title concepts, algorithms, tools and applications /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource
520 ## - SUMMARY, ETC.
Summary, etc "Machine learning with big data technologies create new opportunities to understand the various data process related to medical or environmental aspects of agriculture. Machine learning as a field is now incredibly pervasive, with applications spanning from business intelligence to homeland security from analyzing biochemical interactions to structural monitoring of aging bridges, and from emissions to astrophysics, etc. As we are entering the Industrial Revolution 4.0, BD/ML applications, in combination with IoT/Cloud technologies, are fundamentally changing any domain-specific industry. Development of this field is very important because it can help to enhance human life by the automation system, which in turn has far-reaching effects for economic, psychological, educational and organizational improvements to the way we work, teach, learn and care for ourselves and each other"--
590 ## - LOCAL NOTE (RLIN)
Local note John Wiley and Sons
700 1# - AUTHOR 2
Author 2 Dulhare, Uma N.,
700 1# - AUTHOR 2
Author 2 Ahmad, Khaleel,
700 1# - AUTHOR 2
Author 2 Khairol Amali Bin Ahmad,
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1002/9781119654834
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Hoboken, NJ :
-- Wiley-Scrivener,
-- 2020.
264 #4 -
-- ©2020
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- n
-- rdamedia
338 ## -
-- online resource
-- nc
-- rdacarrier
520 ## - SUMMARY, ETC.
-- Provided by publisher.
588 ## -
-- Description based on print version record and CIP data provided by publisher; resource not viewed.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Machine learning.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Big data.
994 ## -
-- 92
-- DG1

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