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Machine learning and data sciences for financial markets = a guide to contemporary practices /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning and data sciences for financial markets/ edited by Agostino Capponi, Charles-Albert Lehalle.
其他題名:	a guide to contemporary practices /
其他作者:	Capponi, Agostino.
出版者:	Cambridge :Cambridge University Press, : 2023.,
面頁冊數:	xxii, 719 p. :ill., digital ;27 cm.
附註:	Also issued in print: 2023.
標題:	Finance - Data processing. -
電子資源:	https://doi.org/10.1017/9781009028943
ISBN:	9781009028943

Machine learning and data sciences for financial markets = a guide to contemporary practices /
Machine learning and data sciences for financial marketsa guide to contemporary practices /[electronic resource] :edited by Agostino Capponi, Charles-Albert Lehalle. - Cambridge :Cambridge University Press,2023. - xxii, 719 p. :ill., digital ;27 cm.

Also issued in print: 2023.

Includes bibliographical references and index.

Leveraging the research efforts of more than sixty experts in the area, this volume reviews cutting-edge practices in machine learning for financial markets. Instead of seeing machine learning as a new field, the authors explore the connection between knowledge developed by quantitative finance over the past forty years and techniques generated by the current revolution driven by data sciences and artificial intelligence.

Specialized.

ISBN: 9781009028943

Standard No.: 10.1017/9781009028943doiSubjects--Topical Terms:

657417
Finance
--Data processing.

LC Class. No.: HG104 / .M3 2023

Dewey Class. No.: 332.0285631

Machine learning and data sciences for financial markets = a guide to contemporary practices /
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500 $a Also issued in print: 2023.
504 $a Includes bibliographical references and index.
520 8 $a Leveraging the research efforts of more than sixty experts in the area, this volume reviews cutting-edge practices in machine learning for financial markets. Instead of seeing machine learning as a new field, the authors explore the connection between knowledge developed by quantitative finance over the past forty years and techniques generated by the current revolution driven by data sciences and artificial intelligence.
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