Novel Financial Applications of Machine Learning and Deep Learning / International Series in Operations Research & Management Science Bd.336 (PDF)
- Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
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.
Petr Hajek is a Professor at the Science and Research Centre, University of Pardubice, Czech Republic. He holds a Ph.D. degree in system engineering and informatics. Professor Hajek is the author or coauthor of 5 books and more than 70 articles in leading journals such as Information Sciences, Decision Support Systems, and Knowledge-Based Systems. His current research interests include business decision-making, soft computing, text mining, and knowledge-based systems. He is a fellow of the Association for Computing Machinery (ACM), KES International, and Association for Information Systems (AIS).
- 2023, 2023, 231 Seiten, Englisch
- Herausgegeben: Mohammad Zoynul Abedin, Petr Hajek
- Verlag: Springer International Publishing
- ISBN-10: 3031185528
- ISBN-13: 9783031185526
- Erscheinungsdatum: 01.03.2023
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Grösse: 6.16 MB
- Ohne Kopierschutz
- Vorlesefunktion
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Novel Financial Applications of Machine Learning and Deep Learning / International Series in Operations Research & Management Science Bd.336".
Kommentar verfassen