Actuarial Data Science: Maschinelles Lernen in der...

Actuarial Data Science: Maschinelles Lernen in der Versicherung

Martin Seehafer, Stefan Nörtemann, Jonas Offtermatt, Fabian Transchel, Axel Kiermaier, René Külheim, Wiltrud Weidner
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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
年:
2021
出版商:
De Gruyter
語言:
german
頁數:
380
ISBN 10:
3110659344
ISBN 13:
9783110659344
文件:
EPUB, 6.56 MB
IPFS:
CID , CID Blake2b
german, 2021
下載 (epub, 6.56 MB)
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