BÜCHER VERSANDKOSTENFREI INNERHALB DEUTSCHLANDS
Machine Learning Approaches in Financial Analytics
Springer
ISBN 978-3-031-61036-3
Standardpreis
Bibliografische Daten
Fachbuch
Buch. Hardcover
2024
17 s/w-Abbildungen, 88 Farbabbildungen.
In englischer Sprache
Umfang: xx, 483 S.
Format (B x L): 15,5 x 23,5 cm
Verlag: Springer
ISBN: 978-3-031-61036-3
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Intelligent Systems Reference Library
Produktbeschreibung
This book addresses the growing need for a comprehensive guide to the application of machine learning in financial analytics. It offers a valuable resource for both beginners and experienced professionals in finance and data science by covering the theoretical foundations, practical implementations, ethical considerations, and future trends in the field. It bridges the gap between theory and practice, providing readers with the tools and knowledge they need to leverage the power of machine learning in the financial sector responsibly.
Autorinnen und Autoren
Kundeninformationen
Covers all aspects of financial markets along with effective exploration and exploitation of machine learning techniques Presents recent research on machine learning approaches in Financial Analytics Provides theoretical concepts, empirical analysis, and applications
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