The main goal of this book is to represent a systematic introduction to data science for actuaries, leveraging some of those topics that could benefit from it. The work is structured as a data science handbook, but the applications are purely actuarial. Obviously, this manual does not account for each and every aspect of data science or actuarial science, but it may be easily enhanced to include new algorithms and examples in the future

Data Science and machine learning in insurance / Grasso, Fabio; Levantesi, Susanna. - (2019), pp. 9-14.

Data Science and machine learning in insurance

Grasso Fabio;Levantesi Susanna
2019

Abstract

The main goal of this book is to represent a systematic introduction to data science for actuaries, leveraging some of those topics that could benefit from it. The work is structured as a data science handbook, but the applications are purely actuarial. Obviously, this manual does not account for each and every aspect of data science or actuarial science, but it may be easily enhanced to include new algorithms and examples in the future
Data Science and machine learning in insurance
978-88-255-2865-7
data science; actuarial science; algorithms
02 Pubblicazione su volume::02c Prefazione/Postfazione
Data Science and machine learning in insurance / Grasso, Fabio; Levantesi, Susanna. - (2019), pp. 9-14.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1344506
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