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