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Titlebook: Novel Financial Applications of Machine Learning and Deep Learning; Algorithms, Product Mohammad Zoynul Abedin,Petr Hajek Book 2023 The Ed

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发表于 2025-3-21 18:59:29 | 显示全部楼层 |阅读模式
书目名称Novel Financial Applications of Machine Learning and Deep Learning
副标题Algorithms, Product
编辑Mohammad Zoynul Abedin,Petr Hajek
视频video
概述Includes a wide range of machine learning algorithms covering a variety of tasks in financial applications.Focuses on financial product modeling.Provides advanced knowledge on classifier hybridization
丛书名称International Series in Operations Research & Management Science
图书封面Titlebook: Novel Financial Applications of Machine Learning and Deep Learning; Algorithms, Product  Mohammad Zoynul Abedin,Petr Hajek Book 2023 The Ed
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
出版日期Book 2023
关键词Financial Applications; Machine Learning; Deep Learning; Algorithms; Product Modeling
版次1
doihttps://doi.org/10.1007/978-3-031-18552-6
isbn_softcover978-3-031-18554-0
isbn_ebook978-3-031-18552-6Series ISSN 0884-8289 Series E-ISSN 2214-7934
issn_series 0884-8289
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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