Machine Learning Approaches in Financial Analytics: 254 (Intelligent Systems Reference Library, 254) - Hardcover
Synopsis
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.
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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.
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Machine Learning Approaches in Financial Analytics (eng)
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Machine Learning Approaches in Financial Analytics
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Springer, Berlin|Springer Nature Switzerland|Springer, 2024
ISBN 10: 3031610369
ISBN 13: 9783031610363
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 theor. Seller Inventory # 1592583125
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Machine Learning Approaches in Financial Analytics
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 504 pp. Englisch. Seller Inventory # 9783031610363