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Novel Financial Applications of Machine Learning and Deep Learning

Algorithms, Product Modeling, and Applications

Produktform: Buch / Einband - fest (Hardcover)

The book covers advanced machine learning techniques, such as Support Vector Machine, Neural Networks, Random Forest, -Nearest Neighbors, Extreme Learning Machine, Deep Learning Approaches, and their application to finance datasets. It also leverages real-world financial instances to practice business product modeling and data analysis. Software code, such as MATLAB, Python and/or R including datasets within a broad range of financial domain are included for more rigorous practice. The book primarily aims at providing graduate students and researchers with a roadmap for financial data analysis. It is also intended for a broad audience, including academics, professional financial analysts, and policy-makers who are involved in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management.weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Sprache(n): Englisch

ISBN: 978-3-031-18551-9 / 978-3031185519 / 9783031185519

Verlag: Springer International Publishing

Erscheinungsdatum: 02.03.2023

Seiten: 231

Auflage: 1

Herausgegeben von Petr Hajek, Mohammad Zoynul Abedin

181,89 € inkl. MwSt.
kostenloser Versand

lieferbar - Lieferzeit 10-15 Werktage

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