Machine Learning in Finance : From Theory to Practice /

This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as financial econometrics and discrete time stochastic control, with an emphasis on how theory and hypothe...

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Bibliographic Details

Main Authors:	Dixon, Matthew F. (Author), Halperin, Igor (Author), Bilokon, Paul (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:	1st ed. 2020.
Subjects:	Statistics . Applied mathematics. Engineering mathematics. Statistics for Business, Management, Economics, Finance, Insurance. Applications of Mathematics. Statistics, general. Electronic books.
Online Access:	Connect to the full text of this electronic book