Machine learning for business analytics : (Record no. 30128)

000 -LEADER
fixed length control field 02894cam a22004698i 4500
001 - CONTROL NUMBER
control field 23086103
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20231120144447.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230428s2023 nju b 001 0 eng c
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2023016779
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119903833
Qualifying information (hardback)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781119903840
Qualifying information (adobe pdf)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781119903857
Qualifying information (epub)
040 ## - CATALOGING SOURCE
Language of cataloging eng
Description conventions rda
Transcribing agency OSt
Modifying agency DLC
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HF5691
Item number .S56 2023
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 650.01513
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Shmueli, Galit,
Dates associated with a name 1971-
Relator term author.
245 10 - TITLE STATEMENT
Title Machine learning for business analytics :
Remainder of title concepts, techniques, and applications with JMP Pro® /
Statement of responsibility, etc. Galit Shmueli [and four others]
250 ## - EDITION STATEMENT
Edition statement Second edition.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Hoboken, New Jersey :
Name of producer, publisher, distributor, manufacturer Wiley,
Date of production, publication, distribution, manufacture, or copyright notice [2023]
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice ©2023
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (xxiv, 584 pages) :
Other physical details illustrations (some color) ;
Dimensions 26 cm.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term unmediated
Media type code n
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term volume
Carrier type code nc
Source rdacarrier
500 ## - GENERAL NOTE
General note First edition: Data mining for business analytics (2017).
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc. "Machine learning is the process by which computer algorithms can be made progressively more effective through the accumulation of data and experience. A subset of artificial intelligence, it is an increasingly powerful business tool, driving ever more refined data analysis and decision-making. In recent years, JMP Pro℗ʼ has emerged as one of the most effective and widely-used commercial analysis and data mining tools on the market, using machine learning to produce automated solutions to a range of data analysis needs. Machine Learning for Business Analytics: Concepts, Techniques and Applications with JMP Pro℗ʼ, 2nd ed. offers an accessible and engaging introduction to machine learning using this market-leading software. It provides concrete examples and case studies to educate new users and deepen existing users' understanding of their data and their business. Fully updated to incorporate new topics and instructional material, this remains the only comprehensive introduction to this crucial set of analytical tools specifically tailored to the needs of businesses"--
Assigning source Provided by publisher.
630 00 - SUBJECT ADDED ENTRY--UNIFORM TITLE
Uniform title JMP (Computer file).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Business mathematics
General subdivision Computer programs.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Business
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data mining.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Management
General subdivision Data processing.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bruce, Peter C.,
Dates associated with a name 1953-
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Stephens, Mia L.,
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Anandamurthy, Muralidhara,
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Patel, Nitin R.
Fuller form of name (Nitin Ratilal),
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element John Wiley & Sons,
Relator term publisher.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Online version:
Main entry heading Shmueli, Galit, 1971-
Title Machine learning for business analytics.
Edition Second edition
Place, publisher, and date of publication Hoboken, New Jersey : Wiley, [2023]
International Standard Book Number 9781119903840
Record control number (DLC) 2023016780
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Books - Circulation
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Full call number Barcode Date last seen Price effective from Koha item type Public note
          University of Santo Tomas-Legazpi Main Library University of Santo Tomas-Legazpi Main Library Circulation 2023-11-20 Circ. HF 5691 .S56 2023 ML062030 2023-11-20 2023-11-20 Books - Circulation JB

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