did-you-know? rent-now

Amazon no longer offers textbook rentals. We do!

Risk Modeling Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning

9781119824930

Risk Modeling Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning

  • ISBN 13:

    9781119824930

  • ISBN 10:

    1119824931

  • Edition: 1st
  • Format: Hardcover
  • Copyright: 09/27/2022
  • Publisher: Wiley

List Price $49.95 Save

Rent $40.06
TERM PRICE DUE
Added Benefits of Renting

Free Shipping Both Ways Free Shipping Both Ways
Highlight/Take Notes Like You Own It Highlight/Take Notes Like You Own It
Purchase/Extend Before Due Date Purchase/Extend Before Due Date

List Price $49.95 Save $1.74

New $48.21

Usually Ships in 3-4 Business Days

We Buy This Book Back We Buy This Book Back!

Included with your book

Free Shipping On Every Order Free Shipping On Every Order

Note: Supplemental materials are not guaranteed with Rental or Used book purchases.

Extend or Purchase Your Rental at Any Time

Need to keep your rental past your due date? At any time before your due date you can extend or purchase your rental through your account.

Summary

A wide-ranging overview of the use of machine learning and AI techniques in financial risk management, including practical advice for implementation

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. This authoritative volume:

  • Highlights the use of machine learning and AI in identifying procedures for avoiding or minimizing financial risk
  • Discusses practical tools for assessing bias and interpretability of resultant models developed with machine learning algorithms and techniques
  • Covers the basic principles and nuances of feature engineering and common machine learning algorithms
  • Illustrates how risk modeling is incorporating machine learning and AI techniques to rapidly consume complex data and address current gaps in the end-to-end modelling lifecycle
  • Explains how proprietary software and open-source languages can be combined to deliver the best of both worlds: for risk models and risk practitioners

Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning is an invaluable guide for CEOs, CROs, CFOs, risk managers, business managers, and other professionals working in risk management.

Author Biography

Read more