Risk modeling : practical applications of artificial intelligence, machine learning, and deep learning /

Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning introduces readers to the use of innovative AI technologies for forecasting and evaluating financial risks. Providing up-to-date coverage of the practical application of current modelling techniques...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Roberts, Terisa (Autor), Tonna, Stephen J. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, NJ : Wiley, [2022]
Edición:First edition.
Colección:Wiley and SAS business series.
Temas:
Risk management.
Artificial intelligence.
Machine learning.
Gestion du risque.
Intelligence artificielle.
Apprentissage automatique.
risk management.
artificial intelligence.
Artificial intelligence
Machine learning
Risk management
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Introduction
  • Data Management and Preparation
  • Artificial Intelligence, Machine Learning, and Deep Learning Models for Risk Management
  • Explaining Artificial Intelligence, Machine Learning, and Deep Learning Models
  • Bias, Fairness, and Vulnerability in Decision-Making
  • Machine Learning Model Deployment, Implementation, and Making Decisions
  • Extending the Governance Framework for Machine Learning Validation and Ongoing Monitoring
  • Optimizing Parameters for Machine Learning Models and Decisions in Production
  • The Interconnection between Climate and Financial Stability.

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