소장자료
LDR | 02074cam a2200000 a | ||
001 | 0100529540▲ | ||
005 | 20211101154759▲ | ||
007 | ta ▲ | ||
008 | 210106s2021 nyua b 001 0 eng c▲ | ||
010 | ▼a 2020054088▲ | ||
020 | ▼a9780367480837 (hbk.)▲ | ||
020 | ▼a9780367480813 (pbk.)▲ | ||
020 | ▼z9781003037903 (ebk.)▲ | ||
035 | ▼a(KERIS)REF000019480854▲ | ||
040 | ▼aDLC▼beng▼cDLC▼d221016▲ | ||
082 | 0 | 4 | ▼a332.0285/631▼223▲ |
090 | ▼a332.0285▼bE78a▲ | ||
245 | 0 | 4 | ▼aThe essentials of machine learning in finance and accounting /▼cedited by Mohammad Zoynul Abedin ... [et al.].▲ |
260 | ▼aNew York) :▼bRoutledge,▼c2021▲ | ||
300 | ▼axxiv, 234 p. :▼bill. ;▼c26 cm.▲ | ||
490 | 0 | ▼aRoutledge advanced texts in economics and finance▲ | |
504 | ▼aIncludes bibliographical references and index.▲ | ||
520 | ▼a"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"-- Provided by publisher.▲ | ||
650 | 0 | ▼aFinance▼xData processing.▲ | |
650 | 0 | ▼aFinance▼xMathematical models.▲ | |
650 | 0 | ▼aAccounting▼xData processing.▲ | |
650 | 0 | ▼aMachine leaarning.▲ | |
700 | 1 | ▼aAbedin, Mohammad Zoynul.▲ | |
700 | 1 | ▼aHassan, M. Kabir.▲ | |
700 | 1 | ▼aHajek, Petr.▲ | |
700 | 1 | ▼aUddin, Mohammed Mohi.▲ |
The essentials of machine learning in finance and accounting
자료유형
국외단행본
서명/책임사항
The essentials of machine learning in finance and accounting / edited by Mohammad Zoynul Abedin ... [et al.].
발행사항
New York) : Routledge , 2021
형태사항
xxiv, 234 p. : ill. ; 26 cm.
서지주기
Includes bibliographical references and index.
요약주기
"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"-- Provided by publisher.
주제
ISBN
9780367480837 (hbk.) 9780367480813 (pbk.)
청구기호
332.0285 E78a
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