Synopsis
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 this title" may belong to another edition of this title.
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Data Science in Finance and Accounting (Hardcover)
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Hardcover. Condition: new. 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 multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9783032061782
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Data Science in Finance and Accounting (Studies in Big Data, 181)
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Data Science in Finance and Accounting
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 378 pp. Englisch. Seller Inventory # 9783032061782
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Data Science in Finance and Accounting
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ISBN 10: 3032061784
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Hardcover. Condition: new. 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
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Data Science in Finance and Accounting
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 388 pp. Englisch. Seller Inventory # 9783032061782
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Data Science in Finance and Accounting
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783032061782
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