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 in risk management, this real-world guide also explores new opportunities and challenges a...

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Detalles Bibliográficos
Otros Autores: Roberts, Terisa, author (author), Tonna, Stephen J., author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Hoboken, NJ : John Wiley & Sons, Inc [2022]
Edición:First edition
Colección:Wiley and SAS business series.
Materias:
Risk management.
Artificial intelligence.
Machine learning.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009703318406719
Tabla de Contenidos:
  • 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 government framework for machine learning models and decisions in production
  • The interconnection between climate and financial stability.

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