The essentials of machine learning in finance and accounting. (2021)

• Record Type: Book
• Further Information: Note: Edited by Mohammad Zoynul Abedin, M. Kabir Hassan, Petr Hajek, Mohammed Mohi Uddin.
• Editors: Abedin, Mohammad Zoynul; Hassan, Kabir; Hájek, Petr; Uddin, Mohammed Mohi
• Contents: 1 Machine learning in finance and accounting; 2 Decision trees and random forests; 3 Improving longevity risk management through machine learning; 4 Kernel switching ridge regression in business intelligence system; 5 Predicting stock return volatility using sentiment analysis of corporate annual reports; 6 Random projection methods in economics and finance; 7 The future of cloud computing in financial services: a machine learning and artificial intelligence perspective; 8 Prospects and challenges of using artificial intelligence in the audit process; 9 Web usage analysis: pillar 3 information assessment in turbulent times; 10 Machine learning in the fields of accounting, economics and finance: the emergence of new strategies; 11 Handling class imbalance data in business domain; 12 Artificial intelligence (AI) in recruiting talents: recruiters’ intention and actual use of AI
• Edition: 1st
• Publisher Details: London : Routledge
• Publication Date: 2021
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 332.0285631; Finance -- Data processing; Finance -- Mathematical models; Accounting -- Data processing; Machine learning
• Languages: English
• ISBNs: 9781000394122; 9781000394115; 9781003037903
• Related ISBNs: 9780367480837; 9780367480813
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.