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Effective Statistical Learning Methods for Actuaries III: Neural Networks and Extensions

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Effective Statistical Learning Methods for Actuaries III: Neural Networks and Extensions - Denuit, Michel, and Hainaut, Donatien, and Trufin, Julien
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This book reviews some of the most recent developments in neural networks, with a focus on applications in actuarial sciences and finance. It simultaneously introduces the relevant tools for developing and analyzing neural networks, in a style that is mathematically rigorous yet accessible. Artificial intelligence and neural networks offer a powerful alternative to statistical methods for analyzing data. Various topics are covered from feed-forward networks to deep learning, such as Bayesian learning, boosting methods and ...

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Effective Statistical Learning Methods for Actuaries III: Neural Networks and Extensions 2019, Springer Nature Switzerland AG, Cham

ISBN-13: 9783030258269

Paperback