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Machine learning for business analytics : (Record no. 3244)

MARC details
000 -LEADER
fixed length control field 04045nam a22003017a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230816115903.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230816b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781032072777
Terms of availability [paperback].
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Terms of availability Mindmovers :
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Terms of availability ₱7,112.40
040 ## - CATALOGING SOURCE
Language of cataloging English
Transcribing agency Foundation University Library
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 001.31
Item number M18 2023
245 ## - TITLE STATEMENT
Title Machine learning for business analytics :
Remainder of title real-time data analysis for decision making /
Statement of responsibility, etc. edited by Hemachandran K., Sayantan Khanra, Raul V. Rodriguez, Juan R. Jaramillo
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New York, NY :
Name of publisher, distributor, etc. Routledge,
Date of publication, distribution, etc. 2023
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 173 pages :
Other physical details illustrations ;
Dimensions 26 cm.
500 ## - GENERAL NOTE
General note Tables.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Include index.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Contents:<br/>Chapter 1: Introduction to machine learning;<br/>Chapter 2: Role of machine learning in promoting sustainability;<br/>Chapter 3: Addressing the utilization of popular regression models in business application;<br/>Chapter 4: Chatbots: their uses and impact in the hospitality sector;<br/>Chapter 5: Traversing through the use of robotics in the medical industry: outlining emerging trends and perspectives for future growth;<br/>Chapter 6: Integration of AI in insurance and healthcare;<br/>Chapter 7: Artificial intelligence in agriculture: a review;<br/>Chapter 8:Machine learning and artificial intelligence-based tools in digital marketing: and integrated approach;<br/>Chapter 9: Application of artificial intelligence in market knowledge and B2B marketing co-creation;<br/>Chapter 10: A systematic literature review of the impact of artificial intelligence on customer experience;<br/>Chapter 11: The impact of artificial intelligence on customer experience and the purchasing process;<br/>Chapter 12: Application of artificial intelligence in banking: a review;<br/>Chapter 13: Digital ethics: toward a socially prefereble development of AI systems.
520 ## - ABSTRACT, SUMMARY, ETC.
Abstract, Summary, etc. "MACHINE LEARNING FOR BUSINESS ANALYTICS. Machine learning is an integral tool in business analyst's arsenal because the rate at which data is being generated from different sources is increasing and working on complex unstructured data is becoming inevitable. Date collection, data cleaning, and data mining are rapidly becoming more difficult to analyze than just importing information from a primary or secondary source. The machine learning model plays crucial rule in predicting the future performance and results of a company. In real-time, date collection and data wrangling are the important steps in deploying the models. Analytics is a tool for visualizing and steering data and statistics. Business analysts can work with different datasets-choosing an appropriate machine learning model results in accurate analyzing, forecasting the future and making informed decisions. The global machine learning market was valued at $1.58 billion in 2017 and is expected to reach $20.83 billion in 2024-growing at a CAGR of 44.06 % between 2017 and 2024. The authors have compiled important knowledge on machine learning real-time applications in business analytics. This book enables readers to get broad knowledge in the field of machine learning models and to carry out their future work. The future trends machine learning for business analytics are explained with real case studies. Essentially, this book act as a guide to all business analysts. The authors blend the basics of data analytics and machine learning and extend its application to business analytics. This book act as a superb introduction covers the application to business and implications of machine learning. The authors provide the first-hand experience with machine learning and data analytics. This book is valuable source for practitioners, industrialists, technologists, and researchers." --Provided by the publisher
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning.
9 (RLIN) 6843
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data mining.
9 (RLIN) 6844
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name K., Hemachandran
Relator term Editor.
9 (RLIN) 6845
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Khandra, Sayantan
Relator term Editor.
9 (RLIN) 6846
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Rodriguez, Raul V.
Relator term Editor.
9 (RLIN) 6847
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Jaramillo, Juan
Relator term Editor.
9 (RLIN) 6848
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Foundation University Library Foundation University Library 08/16/2023 Purchased   Grad 001.31 M18 2023 63046 08/16/2023 08/16/2023 Books