Download ~ Effective Statistical Learning Methods for Actuaries III * by Michel Denuit, Donatien Hainaut & Julien Trufin ~ Book PDF Kindle ePub Free
eBook details
- Title: Effective Statistical Learning Methods for Actuaries III
- Author : Michel Denuit, Donatien Hainaut & Julien Trufin
- Release Date : January 31, 2019
- Genre: Industries & Professions,Books,Business & Personal Finance,Science & Nature,Mathematics,Economics,
- Pages : * pages
- Size : 33672 KB
Description
Artificial intelligence and neural networks offer a powerful alternative to statistical methods for analyzing data. This book reviews some of the most recent developments in neural networks, with a focus on applications in actuarial sciences and finance.
The third volume of the trilogy simultaneously introduces the relevant tools for developing and analyzing neural networks, in a style that is mathematically rigorous and yet accessible. The authors proceed by successive generalizations, requiring of the reader only a basic knowledge of statistics.
Various topics are covered from feed-forward networks to deep learning, such as Bayesian learning, boosting methods and Long Short Term Memory models. All methods are applied to claims, mortality or time-series forecasting.
This book is written for masters students in the actuarial sciences and for actuaries wishing to update their skills in machine learning.
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