Risk modeling : practical applications of artificial intelligence, machine learning, and deep learning / Terisa Roberts and Stephen J. Tonna.

Format:

Book

Author/Creator:

Roberts, Terisa, author.

Tonna, Stephen J., author.

Series:

Wiley and SAS business series.

Wiley and SAS Business Series

Language:

English

Subjects (All):

Risk management.

Artificial intelligence.

Machine learning.

Physical Description:

1 online resource (205 pages)

Edition:

First edition.

Place of Publication:

Hoboken, NJ : John Wiley & Sons, Inc., [2022]

Summary:

" ... 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"--Provided by publisher.

Contents:

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.

Notes:

Description based on print version record.

Includes index.

ISBN:

9781119824961

1119824966

9781119824947

111982494X

9781119824954

1119824958

OCLC:

1343299071