BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//AKTUARVEREINIGUNG ÖSTERREICHS (AVÖ) - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://avoe.at
X-WR-CALDESC:Veranstaltungen für AKTUARVEREINIGUNG ÖSTERREICHS (AVÖ)
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Vienna
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20200329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20201025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20210328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20211031T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20220327T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20221030T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20211217T090000
DTEND;TZID=Europe/Vienna:20211217T120000
DTSTAMP:20260510T030400
CREATED:20211217T152305Z
LAST-MODIFIED:20211217T152305Z
UID:10000069-1639731600-1639742400@avoe.at
SUMMARY:EAA Web Session: Practical Machine Learning Applications in Finance and Insurance
DESCRIPTION:The objective of this web session is that participants should become familiar with machine learning techniques used to solve practical problems in finance\, banking and insurance. To achieve this we begin from the scratch and introduce machine learning workflows and techniques step by step: To start with\, we give an overview of this interesting field with the primary focus on several techniques such as neural networks\, among others. The key for an efficient application is the way of training machine learning algorithms and thus we focus our attention on this optimization as well. We strengthen our learned knowledge by focusing on several case studies: We consider an example within the Solvency II context such as implementing an internal model to calculate the Solvency Capital Requirement (SCR)\, but also applications to financial market such as option pricing by Monte Carlo methods or trading strategies. During our complete web session we learn how the introduced algorithms can be implemented so that the participants are able to build up their own use cases in Python at the end. \nRegistration deadline: 14 March. 2022
URL:https://avoe.at/event/eaa-web-session-practical-machine-learning-applications-in-finance-and-insurance-2/
LOCATION:Online-Veranstaltung (MS Teams)
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
END:VCALENDAR