Druck auf Anfrage Neuware - Printed after ordering - 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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Bibliographic Details

Title: Machine Learning Approaches in Financial Analytics
Publisher: Springer, Springer
Publication Date: 2024
Language: English
ISBN 10: 3031610369
ISBN 13: 9783031610363
Binding: Buch
Condition: Neu
Dimensions: 241 millimeters width by 160 millimeters height by 33 millimeters depth
Weight: 916 grams

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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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