Machine Learning Approaches in Financial Analytics
Leandros A. Maglaras · Sonali Das · Naliniprava Tripathy · Srikanta Patnaik
Ago 2024 · Intelligent Systems Reference Library Kitabu cha 254 · Springer Nature
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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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