29/11/2021
These days, nobody disputes the profound impact and
yet-untouched potential of Machine Learning and Artificial
Intelligence anymore. Yet, in the actuarial sciences, these
breakthrough possibilities are hampered by regulation, the need for
numerical confidence and insight into model decision making, the
latter being subsumed as a "black box problem". Thus, the quest for
explainability is in fact much more pressing than in any other
industry.
With the upcoming one-day EAA Web Session "ML Explainability in
Actuarial Data Science: A Primer", taking place on 10 March 2022
from 9:00-16:30 CET, we aim to provide you insights into the areas
of unsupervised learning, supervised learning and artificial neural
nets via model-agnostic explainability approaches.
Register online by 27 January 2022 and
benefit from the attractive early bird rate of only
€ 300.00 plus 19% VAT. After this date, the fee is € 400.00 plus
19% VAT.
Please find all further information in this PDF version and on our website. An overview on other upcoming events
can also be downloaded.