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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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Roberts, Terisa (Author), Tonna, Stephen J. (Author)
Format: Electronic eBook
Language:Inglés
Published: Hoboken, NJ : Wiley, [2022]
Edition:First edition.
Series:Wiley and SAS business series.
Subjects:
Risk management.
Artificial intelligence.
Machine learning.
Gestion du risque.
Intelligence artificielle.
Apprentissage automatique.
risk management.
artificial intelligence.
Artificial intelligence
Machine learning
Risk management
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • 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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