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The Essentials of Machine Learning in Finance and Accounting
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The Essentials of Machine Learning in Finance and Accounting (Hardback)

£120.00
Pre-order for despatch on publication.

Synopsis

The book introduces the topic of machine learning in finance and accounting and illustrates how the computational tools and techniques can be used in real-world contexts. These computational tools and techniques are particularly useful in areas such as financial risk management, corporate bankruptcy prediction, stock price prediction, fraud and error detection, and portfolio management. This book explains how large amounts of data can be captured and processed to help improve forecasting accuracy and managing business risk. It also offers practical and managerial implications. The book will be a helpful guide for research students, scholars, and practitioners who want to learn about the uses of machine learning and its applications in finance and accounting.

BusinessEconomicsEconometricsEconomic statisticsBusinessEconomicsEconomic forecastingComputing & ITComputer programming / software developmentAlgorithms & data structuresScience & MathematicsMathematicsApplied mathematics Publisher: Taylor & Francis Ltd Publication Date: 21/06/2021 ISBN-13: 9780367480837  Details: Type: Hardback Format: Books
Availability: Pre-order for despatch on publication. Pre-Order

Mohammad Zoynul Abedin is an associate professor of Finance at the Hajee Mohammad Danesh Sci. & Tec. Univ., Bangladesh. Dr. Abedin continuously publishes academic paper in refereed journals. Moreover, Dr. Abedin served as an ad-hoc reviewer for many academic journals. His research interest includes Data Analytics and Business Intelligence. Mohammad Kabir Hassan is a professor of Finance at the University of New Orleans, USA. Prof. Hassan has over 350 papers [225 SCOPUS, 108 SSCI, 58 ESCI, 227 ABDC, 161 ABS] published as book chapters and in top refereed academic journals. The number of publications would put Prof. Hassan in the top 1% of peers who continue to publish one refereed article per year over a long period of time according to an article published in Journal of Finance. Petr Hajek is currently an associate professor with the Institute of System Engineering and Informatics, University of Pardubice, Czech Republic. He is the author or coauthor of four books and more than 60 articles in leading journals. His current research interests include business decision making, soft computing, text mining and knowledge-based systems. Mohammed Mohi Uddin, PhD, is an assistant professor of Accounting at the University of Illinois Springfield, USA. His primary research interests concern accountability, performance management, corporate social responsibility, and accounting data analytics. Dr. Uddin published scholarly articles in reputable academic and practitioners' journals.

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