Data Science in Finance and Accounting (Hardcover)
Language: English
Published by Springer Nature Switzerland AG, Cham, 2026
- Hardcover
- New
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
AbeBooks seller since June 29, 2022
Condition: New
£ 179.99
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Hardcover. This book brings together innovative research at the intersection of data science, machine learning, and finance. Covering a wide spectrum of topicsincluding explainable AI, financial distress prediction, stock market forecasting, investment strategies, audit analytics, and economic modelingit showcases both theoretical developments and applied case studies from around the world.With chapters spanning predictive modeling, sentiment analysis, capital structure, IT governance, and Bayesian approaches to productivity, the book offers a multidisciplinary perspective on how data-driven tools are reshaping modern finance and accounting.This book presents a timely resource for academics, practitioners, and graduate students seeking to understand and apply data science in financial and accounting contexts. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Seller Inventory # 9783032061782
- Title
- Data Science in Finance and Accounting (Hardcover)
- Author
- Hien Thu Thi Nguyen
- Publisher
- Springer Nature Switzerland AG, Cham
- Publication year
- 2026
- Condition
- new
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3032061784
- ISBN 13
- 9783032061782
This book brings together innovative research at the intersection of data science, machine learning, and finance. Covering a wide spectrum of topics—including explainable AI, financial distress prediction, stock market forecasting, investment strategies, audit analytics, and economic modeling—it showcases both theoretical developments and applied case studies from around the world.
With chapters spanning predictive modeling, sentiment analysis, capital structure, IT governance, and Bayesian approaches to productivity, the book offers a multidisciplinary perspective on how data-driven tools are reshaping modern finance and accounting.
This book presents a timely resource for academics, practitioners, and graduate students seeking to understand and apply data science in financial and accounting contexts.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This book brings together innovative research at the intersection of data science, machine learning, and finance. Covering a wide spectrum of topics—including explainable AI, financial distress prediction, stock market forecasting, investment strategies, audit analytics, and economic modeling—it showcases both theoretical developments and applied case studies from around the world.
With chapters spanning predictive modeling, sentiment analysis, capital structure, IT governance, and Bayesian approaches to productivity, the book offers a multidisciplinary perspective on how data-driven tools are reshaping modern finance and accounting.
This book presents a timely resource for academics, practitioners, and graduate students seeking to understand and apply data science in financial and accounting contexts.
"About the title" may belong to another edition of this title.
CitiRetail
Stevenage, United Kingdom
AbeBooks seller since June 29, 2022
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