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Machine Learning Applications in Finance, 2nd Edition

FinTech has emerged as a pivotal research area in modern finance, integrating cutting-edge technologies to address the evolving challenges of the financial industry. Recent advancements in machine learning (ML) and artificial intelligence (AI) have significantly enhanced the ability to analyze and i...

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Format: Online
Jezik:angleščina
Izdano: MDPI - Multidisciplinary Digital Publishing Institute 2026
Teme:
Artificial intelligence
Blockchain
Big data
Cryptocurrencies
Cyber security
Data analytics
Data mining
Deep learning
Electronic data interchange (EDI)
E-learning
Internet security
Internet of things
Mobile applications
Mobile learning
Neural networks
Fuzzy logic
Expert systems
Security
Sentiment analysis
Support vector machines
Web services and performance
thema EDItEUR::W Lifestyle, Hobbies and Leisure::WC Antiques, vintage and collectables::WCF Collecting coins, banknotes, medals and other related items
Online dostop:ONIX_20260416T142754_9783725859955_15
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Izvleček:FinTech has emerged as a pivotal research area in modern finance, integrating cutting-edge technologies to address the evolving challenges of the financial industry. Recent advancements in machine learning (ML) and artificial intelligence (AI) have significantly enhanced the ability to analyze and interpret large-scale, complex financial data. These innovations have enabled more accurate forecasting, risk assessment, portfolio optimization, fraud detection, and algorithmic trading. The 2nd edition of the Special Issue of The Journal of Risk and Financial Management focuses on exploring the applications of ML and AI in finance, with an emphasis on the latest methodologies and their practical implementation in financial decision-making. This edition showcases a broad spectrum of research that leverages advanced ML techniques to uncover patterns in financial markets, improve investment strategies, and optimize financial risk management. By bringing together contributions from leading experts, this collection aims to further the integration of ML and AI within the finance sector, advancing both theoretical understanding and practical applications of these transformative technologies.

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