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[NT 33762] ISBD
Risk modeling : practical applications of artificial intelligence, machine learning, and deep learning
[NT 42944] Record Type:
[NT 1579] Language materials, printed : [NT 40817] monographic
[NT 47348] Title Information:
practical applications of artificial intelligence, machine learning, and deep learning
[NT 47261] Author:
RobertsTerisa,
[NT 47353] Alternative Intellectual Responsibility:
TonnaStephen J.,
[NT 47351] Place of Publication:
Hoboken, NJ
[NT 47263] Published:
Wiley;
[NT 47352] Year of Publication:
c2022
[NT 47264] Description:
xiv, 186 p.ill. : 24 cm.;
[NT 47298] Series:
Wiley and SAS business series
[NT 47266] Subject:
Risk management. -
[NT 47266] Subject:
Machine learning. -
[NT 47266] Subject:
Artificial intelligence. -
[NT 51398] Summary:
"This book provides an overview and introduction to the application of artificial intelligence and machine learning in risk management. It will cover practical application of newer modelling techniques in risk management and explore what the opportunities are of using artificial intelligence and machine learning, as well as the risks and challenges associated with the innovation. In addition, it will explain the options to extend the model governance framework for artificial intelligence and machine learning"--Provided by publisher
[NT 50961] ISBN:
978-1-119-82493-0bound
Risk modeling : practical applications of artificial intelligence, machine learning, and deep learning
Roberts, Terisa
Risk modeling
: practical applications of artificial intelligence, machine learning, and deep learning / Terisa Roberts, Stephen J. Tonna - Hoboken, NJ : Wiley, c2022. - xiv, 186 p. ; ill. ; 24 cm.. - (Wiley and SAS business series).
Includes index..
ISBN 978-1-119-82493-0
Risk management.Machine learning.Artificial intelligence.
Tonna, Stephen J.
Risk modeling : practical applications of artificial intelligence, machine learning, and deep learning
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"This book provides an overview and introduction to the application of artificial intelligence and machine learning in risk management. It will cover practical application of newer modelling techniques in risk management and explore what the opportunities are of using artificial intelligence and machine learning, as well as the risks and challenges associated with the innovation. In addition, it will explain the options to extend the model governance framework for artificial intelligence and machine learning"--Provided by publisher
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