Actuarial Data Science: Maschinelles Lernen in der Versicherung

Martin Seehafer; Stefan Nörtemann; Jonas Offtermatt; Fabian Transchel; Axel Kiermaier; René Külheim; Wiltrud Weidner

Published by De Gruyter 2021

Actuarial Data Science

Maschinelles Lernen in der Versicherung

Actuarial Data Science. Machine learning in the insurance industry

Martin Seehafer , Stefan Nörtemann , Jonas Offtermatt , Fabian Transchel , Axel Kiermaier , René Külheim and Wiltrud Weidner

In the series De Gruyter STEM

https://doi.org/10.1515/9783110659344

Overview
Contents

About this book

Actuaries, business mathematicians and IT specialists in corresponding companies are increasingly confronted with new requirements in the areas of IT automation, data management, machine learning / AI and data security, which are not covered by their previous basic mathematical and scientific training. The authors (specialists and certified DAV teachers) provide a fundamental introduction to these topics.

Ausführliche Darstellung der Grundlagen des Data Science
Autoren sind erfahrene Dozenten der Deutschen Aktuar Akademie
In Kursen erprobt
Zahlreiche Fallstudien

Author information

Martin Seehafer, München; Stefan Nörtemann, Essen

Topics

Frontmatter Publicly Available Download PDF	I
Vorwort Publicly Available Download PDF	V
Inhalt Publicly Available Download PDF	VII
1 Actuarial Data Science – Business Cases Requires Authentication Unlicensed Licensed Download PDF	1
2 Crashkurs in Data Mining Anwendungen Requires Authentication Unlicensed Licensed Download PDF	5
3 Neue Versicherungsprodukte Requires Authentication Unlicensed Licensed Download PDF	12
4 Tools, Sprachen, Frameworks Requires Authentication Unlicensed Licensed Download PDF	19
5 Informationstechnologie Requires Authentication Unlicensed Licensed Download PDF	35
6 Mathematische Verfahren Requires Authentication Unlicensed Licensed Download PDF	160
7 Korrelation und kausale Inferenz Requires Authentication Unlicensed Licensed Download PDF	305
8 Data Mining Requires Authentication Unlicensed Licensed Download PDF	320
9 Gesellschaftliches Umfeld Requires Authentication Unlicensed Licensed Download PDF	332
A Appendix Requires Authentication Unlicensed Licensed Download PDF	346
Nachwort & Danksagungen Requires Authentication Unlicensed Licensed Download PDF	361
Literatur Requires Authentication Unlicensed Licensed Download PDF	363
Stichwortverzeichnis Requires Authentication Unlicensed Licensed Download PDF	369

(Deutsch)

Language: German
Publisher: De Gruyter
Audience: Mathematiker, Informatiker, IT-Spezialisten, Risiko-Manager
Pages
- Front matter: 10
- Main content: 370
Illustrations
- Illustrations: 8
- Coloured Illustrations: 86
Keywords: Actuary; Data Science; Financial Mathematics; Actuarial mathematics

eBook

Published: January 18, 2021
ISBN: 9783110659344

Paperback

Published: January 18, 2021
ISBN: 9783110659283