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lgli/机器学习和深度学习的新式金融应用.pdf
机器学习和深度学习的新式金融应用 🔍
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英语 [en] · 中文 [zh] · PDF · 6.4MB · 2023 · 📘 非小说类图书 · 🚀/lgli/lgrs · Save
描述
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.
备用文件名
lgrsnf/机器学习和深度学习的新式金融应用.pdf
备选标题
Novel Financial Applications of Machine Learning and Deep Learning : Algorithms, Product Modeling, and Applications
备选作者
Abedin, Mohammad Zoynul; Hajek, Petr
备选作者
Mohammad Zoynul Abedin; Petr Hajek
备用出版商
Springer International Publishing AG
备用出版商
Springer Nature Switzerland AG
备用版本
International series in operations research & management science, v. 336, Cham, Switzerland, 2023
备用版本
International Series in Operations Research & Management Science, 1st edition 2023, Cham, 2023
备用版本
Springer Nature, Cham, Switzerland, 2023
备用版本
Switzerland, Switzerland
备用描述
International Series in Operations Research & Management Science
Erscheinungsdatum: 02.03.2023
开源日期
2024-02-25
更多信息……
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