【英语金融建模】Machine Learning and Modeling Techniques in Financial Data Scie

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Machine Learning and Modeling Techniques in Financial Data Science (Haojun Chen) .pdf (6.15 MB, 需要: RMB 19 元)

2025-9-9 23:01:29 上传

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金融机器学习建模技术类的资料，内容非常精彩，接近600页的大型资料，实用，翔实，全部矢量文字适合投喂给大模型等工具，翻译也极为方便。
Preface
Section 1
ESG, Sustainability, and Fairness in AI for Financial Services
Chapter 1
Fairness and Bias in Machine Learning Models for Credit Decisions
SilvioAndrae, Independent Researcher, Germany
Chapter 2
From Fintech to Green Fintech: How to Decarbonize the AI in the Financial Domain
RobertoVergallo, Pegaso University, Italy
SimoneCasciaro, Salento University, Italy
LucaMainetti, Salento University, Italy
Chapter 3
Regulatory Challenges and Compliance in Decentralized Finance (DeFi): Comparative Study Between India and USA
V. R.Dhanya, Christ University, India
Rivika RichardD'silva, Christ University, India
DavidJoseph, Christ University, India
Section 2
Advances in AI and Machine Learning for Algorithmic and High-Frequency Trading
Chapter 4
Revolutionizing High-Frequency Trading: The Impacts of Financial Technology and Data Science Innovations
K.Balaji, Christ University, Bengaluru, India
Chapter 5
Robo-Traders and PPO: Advancing Grid Trading With Deep Reinforcement Learning
HaojunChen, Guangzhou Huali College, China
Chapter 6
Exploring Leading Practices in Algorithmic Trading: Insights From Survey and Case Studies on Machine Learning Techniques and Market Dynamics
PartapSingh, Maharishi Markandeshwar, India
Chapter 7
Innovative Applications and Advanced Practices in Financial Data Science and Machine Learning for High-Frequency Trading
JayArora, Sharda University, India
VishalJain, Sharda University, India
Section 3
Data Analytics and AI in Financial Processes
Chapter 8
A Review of Current Applications of AI and Machine Learning Methods for Financial Statement Analysis
K.Dheenadhayalan, Sri Sairam Engineering College, Chennai, India
Joel JebaduraiDevapitchai, St. Joseph's College of Engineering, India
R.Surianarayanan, SA Engineering College, India
S.Usha, Sri Sairam Engineering College, India
Chapter 9
Enhancing Audit Effectiveness Through Strategic Data Analytics
AshokPanchapakesan, Symbiosis International University, India
HarishchanderAnandaram, Amrita Vishwa Vidyapeetam, India
LakshmiSridevi, Chennai Institute of Technology, India
Kumar M.Sathish, Nehru Institute of Engineering and Technology, India
P.Dhivya, Karpagam College of Engineering, India
S.Parameswari, Sri Sairam Institute of Technology, India
K. S.Shreenidhi, Rajalakshmi Engineering College, India
HenilKapadia, Symbiosis International University, India
Chapter 10
Artificial Intelligence-Based Capital Structure Management: A Comparative Analysis of Sectoral Dynamics of Leverage
Yunus EmreAkdogan, Yozgat Bozok University, Turkey
Chapter 11
AI-Driven Credit Assessment in Banks and Non-Banking Finance Companies (NBFCs) in India: A Comprehensive Analysis
ShikhaMalhotra, Christ University, India
K. A.Dhanya, Christ University, India
Raj M. S.Prathibha, Christ University, India
PriyakrushnaMohanty, Christ University, India
Section 4
Applications in Financial Market Forecasting and Strategy Optimization
Chapter 12
From Chart to Chart: Analyzing Lyric Content in Music Streaming Charts for Predicting Stock Prices Using LSTM
ChongGuan, Singapore University of Social Sciences, Singapore
YinghuiYu, Singapore University of Social Sciences, Singapore
JingRen, Singapore University of Social Sciences, Singapore
DingDing, Singapore University of Social Sciences, Singapore
Chapter 13
Machine Learning for Price Prediction and Risk-Adjusted Portfolio Optimization in Cryptocurrencies
DailinSong, Columbia University, USA
Chapter 14
Evaluating the Effectiveness of Optimized LSTM and XGBoost Classifiers in High-Frequency Futures Market Prediction
HaojunChen, Guangzhou Huali College, China
Chapter 15
Exploring Dynamic Volatility Transmission in Canadian and Global Financial Markets
NesibeVaroglu, Ministry of Trade, Turkey
AyselVaroglu, Independent Researcher, Canada
Section 5
Natural Language Processing for Finance
Chapter 16
Natural Language Processing in Finance: Techniques, Applications, and Future Directions
RajkumarJagdale, Department of Computer Science, Vishwakarma University, Pune, India
MayurDeshmukh, Department of Computer Science, Vishwakarma University, Pune, India
Section 6
Advancements and Future Research
Chapter 17
Exploring Quantum Challenges and Opportunities of Quantum Machine Learning Adoption in Finance
Tarun KumarVashishth, IIMT University, India
VikasSharma, IIMT University, India
VineetKaushik, IIMT University, India
AniketSingh, Delhi Technical Campus, India
Shashi , CCS University, India
SachinKaushik, HRIT University, India
Chapter 18
Machine Learning for Financial Data Forecasting: Deep Learning-Powered Scientometric Analysis
ImaneBoudri, Institut Supérieur de Commerce et d'Administration des Entreprises, Morocco
ZinebSabri, Sidi Mohamed Ben Abdellah University, Morocco
Compilation of References
About the Contributors
Index

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