Machine learning and artificial intelligence in marketing and sales : (Record no. 668009)

MARC details
000 -LEADER
fixed length control field 03276nam a2200493Ii 4500
001 - CONTROL NUMBER
control field 9781800438828
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250919145710.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr un|||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210401t20212021enk ob 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781800438828
Qualifying information (e-book)
040 ## - CATALOGING SOURCE
Original cataloging agency UtOrBLW
Language of cataloging eng
Description conventions rda
Transcribing agency UtOrBLW
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HF5415.125
Item number .S93 2021
072 #7 - SUBJECT CATEGORY CODE
Subject category code BUS043060
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code KJSM
Source bicssc
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.80028563
Edition information 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Syam, Niladri,
Relator term author.
245 10 - TITLE STATEMENT
Title Machine learning and artificial intelligence in marketing and sales :
Remainder of title essential reference for practitioners and data scientists /
Statement of responsibility, etc. Niladri Syam (University of Missouri, USA), Rajeeve Kaul (McDonald's Corporation, USA).
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Bingley, U.K. :
Name of producer, publisher, distributor, manufacturer Emerald Publishing Limited,
Date of production, publication, distribution, manufacture, or copyright notice 2021.
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice ©2021
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (xxi, 196 pages)
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
500 ## - GENERAL NOTE
General note Includes index.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1. Training and performance assessment -- Chapter 2. Neural networks -- Chapter 3. Overfitting and regulation -- Chapter 4. Support vector machines -- Chapter 5. Random forest, bagging and boosting of decision trees.
520 ## - SUMMARY, ETC.
Summary, etc. 'Machine Learning and Artificial Intelligence in Marketing and Sales' explores the ideas, and the statistical and mathematical concepts, behind Artificial Intelligence (AI) and machine learning models, as applied to marketing and sales, without getting lost in the details of mathematical derivations and computer programming. Bringing together the qualitative and the technological, and avoiding a simplistic broad overview, this book equips those in the field with methods to implement machine learning and AI models within their own organisations. Bridging the'Domain Specialist - Data Scientist Gap' (DS-DS Gap) is imperative to the success of this and chapters delve into this subject from a marketing practitioner and the data scientist perspective. Rather than a context-free introduction to AI and machine learning, data scientists implementing these methods for addressing marketing and sales problems will benefit most if they are exposed to how AI and machine learning have been applied specifically in the marketing and sales contexts. Marketing and sales practitioners who want to collaborate with data scientists can be much more effective when they expand their understanding across boundaries to include machine learning and AI.
588 0# - SOURCE OF DESCRIPTION NOTE
Source of description note Print version record.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Marketing
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Selling
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Business & Economics
General subdivision Marketing
-- Research.
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Market research.
Source of heading or term bicssc
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kaul, Rajeeve,
Relator term author.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
International Standard Book Number 9781800438811
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information PDF version:
International Standard Book Number 9781800438804
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://eresourcesptsl.ukm.remotexs.co/user/login?url=https://doi.org/10.1108/9781800438804">https://eresourcesptsl.ukm.remotexs.co/user/login?url=https://doi.org/10.1108/9781800438804</a>
907 ## - LOCAL DATA ELEMENT G, LDG (RLIN)
a .b1701265x
b 2023-12-01
c 2023-11-28
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Suppress in OPAC No
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Library
Operator's initials, OID (RLIN) 2023-11-28
Cataloger's initials, CIN (RLIN) m
Material Type (Sierra) E-Book
Language English
Country
-- 0
-- .b1701265x

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