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Machine learning and data sciences for financial marketsa guide to contemporary practices /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning and data sciences for financial marketsedited by Agostino Capponi, Charles-Albert Lehalle.
Reminder of title:	a guide to contemporary practices /
other author:	Capponi, Agostino.
Published:	Cambridge :Cambridge University Press,2023.
Description:	xxii, 719 p. :ill., digital ;27 cm.
Notes:	Also issued in print: 2023.
Subject:	FinanceData processing.
Online resource:	https://doi.org/10.1017/9781009028943
ISBN:	9781009028943

Machine learning and data sciences for financial marketsa 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:

200666
Finance
--Data processing.

LC Class. No.: HG104 / .M3 2023

Dewey Class. No.: 332.0285631

Machine learning and data sciences for financial marketsa guide to contemporary practices /
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245 0 0 $a Machine learning and data sciences for financial markets $h [electronic resource] : $b a guide to contemporary practices / $c edited by Agostino Capponi, Charles-Albert Lehalle.
260 $a Cambridge : $b Cambridge University Press, $c 2023.
300 $a xxii, 719 p. : $b ill., digital ; $c 27 cm.
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.
521 $a Specialized.
588 $a Description based on online resource; title from PDF title page (viewed on May 25, 2023).
650 0 $a Finance $x Data processing. $3 200666
650 0 $a Machine learning. $3 188639
650 0 $a Financial institutions. $3 202161
650 0 $a Capital market. $3 184940
700 1 $a Capponi, Agostino. $3 973679
700 1 $a Lehalle, Charles-Albert. $3 697589
856 4 0 $u https://doi.org/10.1017/9781009028943