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 |