eBook - Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning
Available Exclusively as an eBook | Part of the AI Collection | Only for Institutional Purchase | Publication Year: 2022
Description
Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning provides an in-depth guide on using AI and machine learning for financial risk management. It covers practical implementation, bias assessment, model governance, and applications to extreme events like pandemics and climate change, helping professionals optimize risk models effectively.
Table of Contents
1. Introduction
2. Data Management and Preparation
3. Artificial Intelligence, Machine Learning, and Deep Learning Models for Risk Management
4. Explaining Artificial Intelligence, Machine Learning, and Deep Learning Models
5. Bias, Fairness, and Vulnerability in Decision-Making
6. Machine Learning Model Deployment, Implementation, and Making Decisions
7. Extending the Governance Framework for Machine Learning Validation and Ongoing Monitoring
8. Optimizing Parameters for Machine Learning Models and Decisions in Production
9. The Interconnection between Climate and Financial Instability