| Description |
1 online resource (xiv, 186 pages) : illustrations |
| Series |
Wiley and SAS business series |
|
Wiley and SAS business series.
|
| Bibliography |
Includes bibliographical references and index. |
| 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. |
| Summary |
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 associated with implementing machine learning and artificial intelligence (AI) into the risk management process. Authors Terisa Roberts and Stephen Tonna provide readers with a clear understanding about the strengths and weaknesses of machine learning and AI while explaining how they can be applied to both everyday risk management problems and to evaluate the financial impact of extreme events such as global pandemics and changes in climate. Throughout the text, the authors clarify misconceptions about the use of machine learning and AI techniques using clear explanations while offering step-by-step advice for implementing the technologies into an organization's risk management model governance framework. |
| Subject |
Risk management.
|
|
Artificial intelligence.
|
|
Machine learning.
|
|
Gestion du risque. |
|
Intelligence artificielle. |
|
Apprentissage automatique. |
|
risk management. |
|
artificial intelligence. |
|
Artificial intelligence |
|
Machine learning |
|
Risk management |
| Added Author |
Tonna, Stephen J., author.
|
| Other Form: |
Print version: Roberts, Terisa. Risk modeling First edition. Hoboken, NJ : Wiley, [2022] 9781119824930 (DLC) 2022032486 |
| ISBN |
9781119824947 (epub) |
|
111982494X |
|
9781119824954 (adobe pdf) |
|
1119824958 |
|
(cloth) |
|
9781119824961 (electronic bk.) |
|
1119824966 (electronic bk.) |
|
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