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Novel Financial Applications of Machine Learning and Deep Learning - Algorithms, Product Modeling, and Applications (Hardcover, 1st ed. 2023)
Loot Price: R5,195
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Novel Financial Applications of Machine Learning and Deep Learning - Algorithms, Product Modeling, and Applications (Hardcover, 1st ed. 2023)
Series: International Series in Operations Research & Management Science, 336
Expected to ship within 10 - 15 working days
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This book presents the state-of-the-art applications of machine
learning in the finance domain with a focus on financial product
modeling, which aims to advance the model performance and minimize
risk and uncertainty. It provides both practical and managerial
implications of financial and managerial decision support systems
which capture a broad range of financial data traits. It also
serves as a guide for the implementation of risk-adjusted financial
product pricing systems, while adding a significant supplement to
the financial literacy of the investigated study. The book covers
advanced machine learning techniques, such as Support Vector
Machine, Neural Networks, Random Forest, K-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.
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