Actuarial Data Science Après-Midi
The Data Science working group of the SAA is happy to announce the second event focusing on the practical field of (actuarial) data science, that is offered as part of a new professional education opportunity based on the working paper and strategy developed for the SAA.
The number of participants is limited. Secure your participation and register now!
111. Ordentliche Mitgliederversammlung 2020
Der Jahresbericht des Präsidenten ist im Member-Bereich auf der Website der SAV einsehbar.
HS 2020 - Studium Aktuar SAV: Vorlesung "Legislation and Accounting in Insurance", Vorlesung & Prüfung
The actuview online conference - aoc 2020 Future | Actuary
For the first time, the international actuarial streaming platform actuview will be hosting its own online event on 21-25 September 2020 – the actuview online conference, aoc2020. This yearly conference will bring together stakeholders and experts from the global actuarial community to discuss the latest actuarial topics and more. The event is relevant to all actuaries worldwide and will be as easily accessible as actuview itself.
NEW DATE: Block Course „Deep Learning with Actuarial Applications in R”, 15/16 October 2020, Zurich
Please note: security and social distancing are guaranteed
Purpose and Nature:
The goal of this two-day block course is to introduce the participants to neural networks for the modelling of insurance risk in general and life insurance. Therefore, we will provide an introduction into neural networks from a mathematical perspective and from an implementation point of view using R and the keras package. We also give a short introduction into unsupervised learning.
The course will be practical and consists of approx. 50% presentations where the models are introduced and explained. The other 50% are exercises where the participants are using R/RStudio the keras package and apply the concepts to publicly available insurance risk data.
The content of the course is mainly based on the published tutorials of the SAV “Data Science” working group and available on https://www.actuarialdatascience.org/
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