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The essentials of machine learning i...
~
Abedin, Mohammad Zoynul.
The essentials of machine learning in finance and accounting /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
The essentials of machine learning in finance and accounting // edited by Mohammad Zoynul Abedin ... [et al.].
other author:
Abedin, Mohammad Zoynul.
Published:
London ;Routledge, : c2021.,
Description:
xxiv, 234 p. :ill. (chiefly col.) ; : 25 cm.;
Subject:
Finance - Data processing. -
ISBN:
9780367480837
The essentials of machine learning in finance and accounting /
The essentials of machine learning in finance and accounting /
edited by Mohammad Zoynul Abedin ... [et al.]. - London ;Routledge,c2021. - xxiv, 234 p. :ill. (chiefly col.) ;25 cm. - Routledge advanced texts in economics and finance.
Includes bibliographical references and index.
"This book introduces machine learning in finance and illustrates how we can use computational tools in numerical finance in real world context. These computational techniques are particularly useful in financial risk management, corporate bankruptcy prediction, stock price prediction and portfolio management. The book also offers practical and managerial implications of financial and managerial decision support systems and how these systems capture vast amount of financial data. Business risk and uncertainty are two toughest challenges in the financial industry. This book will be a useful guide to the use of machine learning in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management"--
ISBN: 9780367480837
LCCN: 2020054088Subjects--Topical Terms:
559347
Finance
--Data processing.
LC Class. No.: HG104 / .E87 2021
Dewey Class. No.: 332.0285/631
The essentials of machine learning in finance and accounting /
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edited by Mohammad Zoynul Abedin ... [et al.].
260
#
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London ;
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New York, NY :
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Routledge,
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c2021.
300
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xxiv, 234 p. :
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ill. (chiefly col.) ;
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25 cm.
490
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Routledge advanced texts in economics and finance
504
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Includes bibliographical references and index.
520
#
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"This book introduces machine learning in finance and illustrates how we can use computational tools in numerical finance in real world context. These computational techniques are particularly useful in financial risk management, corporate bankruptcy prediction, stock price prediction and portfolio management. The book also offers practical and managerial implications of financial and managerial decision support systems and how these systems capture vast amount of financial data. Business risk and uncertainty are two toughest challenges in the financial industry. This book will be a useful guide to the use of machine learning in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management"--
$c
Provided by publisher.
650
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Finance
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Data processing.
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559347
650
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Finance
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Mathematical models.
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557653
650
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Accounting
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Data processing.
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596289
650
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Machine leaarning.
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1346068
700
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Abedin, Mohammad Zoynul.
$3
1346067
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圖書館3F 書庫
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332.0285631 E786 2021
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