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 futureFile allegati a questo prodotto
File | Dimensione | Formato | |
---|---|---|---|
Grasso_Preface_2019.pdf
solo gestori archivio
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
273.99 kB
Formato
Adobe PDF
|
273.99 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.