Abedin, Mohammad Zoynul <br/><br/>
The Essentials of Machine Learning in Finance and Accounting / 
Mohammad Zoynul Abedin, M. Kabir Hassan, Petr Hajek etc. 
 - 1st ed. 
 - New York :  Routledge;  2021 
 - 234.P,  col. ill.;  24.cm. 
 - Routledge advanced texts in economics and finance .
<br/><br/>1 Machine learning in finance and accounting--<br/>2 Decision Trees and random forests--<br/>3 Improving longevity risk management through machine learning--<br/>4 Kernel switching ridge regression in business intelligence systems--<br/>5 Predicting stock return volatility using sentiment analysis of corporate annual reports--<br/>6 Random projection methods in economics and finance--<br/>7 The future of cloud computing in financial services: a machine learning and artificial intelligence perspective--<br/>8 Prospects and challenges of using artificial intelligence in the audit process--<br/>9 Web usage analysis: pillar 3 information assessment in turbulent times--<br/>10 Machine learning in the fields of accounting, economics and finance: the emergence of new strategies--<br/>11 Handling class imbalance data in business domain--<br/>12 Artificial intelligence (AI) in recruiting talents: recruiters' intention and actual use of AI 
<br/><br/><label>ISBN: </label>9780367480813 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Finance --Machine Learning <br/>Accounting --Machine Learning --Data Processing <br/> Finance --Data processing<br/> Finance--Mathematical models
<br/><br/><label>Dewey Class. No.: </label>332.0285