Cloud computing for machine learning and cognitive applications / (Record no. 29935)

MARC details
000 -LEADER
fixed length control field 01745cam a2200301 i 4500
003 - CONTROL NUMBER IDENTIFIER
control field CUTN
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20190821141506.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170109s2017 mau b 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780262036412
041 ## - LANGUAGE CODE
Language English
042 ## - AUTHENTICATION CODE
Authentication code pcc
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004.678
Edition number 23
Item number HWA
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Hwang, Kai,
245 10 - TITLE STATEMENT
Title Cloud computing for machine learning and cognitive applications /
Statement of responsibility, etc Kai Hwang.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc London :
Name of publisher, distributor, etc The MIT Press,
Date of publication, distribution, etc 2017.
300 ## - PHYSICAL DESCRIPTION
Extent 601 pages ;
Dimensions 24 cm
505 ## - FORMATTED CONTENTS NOTE
Title Part 1. Cloud, Big Data, and Cognitive Computing
-- Part 2. Cloud Architecture and Service Platform Design
-- Part 3. Principles of Machine Learning and Artificial Intelligence Machine
-- Part 4. Cloud Programming and Performance Boosters
520 ## - SUMMARY, ETC.
Summary, etc This textbook is designed to train college students to master modern cloud computing systems in operating principles, architecture design, machine learning algorithms, programming models and software tools for big data mining, analytics, and cognitive applications. The book will be suitable for use in one-semester computer science or electrical engineering courses on cloud computing, machine learning, cloud programming, cognitive computing, or big data science. The book will also be very useful as a reference for professionals who want to work in cloud computing and data science.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Cloud computing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big data.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type General Books
100 1# - MAIN ENTRY--PERSONAL NAME
Relator term author.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a 7
b cbc
c orignew
d 1
e ecip
f 20
g y-gencatlg
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Location Shelving location Date of Cataloging Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Non-fiction CUTN Central Library CUTN Central Library Generalia 21/08/2019   004.678 HWA 37586 21/08/2019 21/08/2019 General Books

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