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The Essentials of Machine Learning in Finance and Accounting Mohammad Zoynul Abedin (HSTU, Bangladesh)

The Essentials of Machine Learning in Finance and Accounting By Mohammad Zoynul Abedin (HSTU, Bangladesh)

The Essentials of Machine Learning in Finance and Accounting by Mohammad Zoynul Abedin (HSTU, Bangladesh)


$420.09
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Summary

This book introduces machine learning in finance and illustrates how to integrate computational tools with numerical finance with real world applications.

The Essentials of Machine Learning in Finance and Accounting Summary

The Essentials of Machine Learning in Finance and Accounting by Mohammad Zoynul Abedin (HSTU, Bangladesh)

* A useful guide to financial product modeling and to minimizing business risk and uncertainty

* Looks at wide range of financial assets and markets and correlates them with enterprises' profitability

* Introduces advanced and novel machine learning techniques in finance such as Support Vector Machine, Neural Networks, Random Forest, K-Nearest Neighbors, Extreme Learning Machine, Deep Learning Approaches and applies them to analyze finance data sets

* Real world applicable examples to further understanding

The Essentials of Machine Learning in Finance and Accounting Reviews

This book will serve as a valuable source for the digital transformation of the financial industry.

Dr. Zamir Iqbal, VP Finance and Chief Financial Officer (CFO), Islamic Development Bank (IsDB)

An essential resource for financial accounting managers and students of financial management.

Professor Mehmet Huseyin Bilgin, Istanbul Medeniyet University, Turkey

A comprehensive coverage of emerging intelligent technologies in finance.

Professor Ohaness Paskelian, University of Houston-Downtown, USA

About Mohammad Zoynul Abedin (HSTU, Bangladesh)

Mohammad Zoynul Abedin is an associate professor of Finance at the Hajee Mohammad Danesh Science and Technology University, Bangladesh. Dr. Abedin continuously publishes academic papers 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.

M. 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. According to an article published in Journal of Finance, 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.

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 co-author 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 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.

Table of 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 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 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

Additional information

NPB9780367480837
9780367480837
0367480832
The Essentials of Machine Learning in Finance and Accounting by Mohammad Zoynul Abedin (HSTU, Bangladesh)
New
Hardback
Taylor & Francis Ltd
2021-06-21
234
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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