Webinar: (First session) Machine learning in general insurance reserving – a worked example
A video of this event is now available to view on:
The first session in a series of two talks on the topic of applying machine learning (ML) techniques in general insurance reserving. A practical example will be presented applying different machine learning models to a reserving data set using R. This presentation was previously given at the 2021 IFOA Spring conference.
Click here to see the event page for the second session
In regard to this webinar, please see ML modelling on triangles - a worked example:
- R version: https://institute-and-faculty-of-actuaries.github.io/mlr-blog/post/f-mlr3example/
- Python version: https://institute-and-faculty-of-actuaries.github.io/mlr-blog/post/f-scikitexample/
This event will be run as a live webinar using Zoom. Click here for information on using Zoom.
NB: As a security measure, there is a two-step registration process before you receive the link to join any webinar. The first step is to register your interest in attending a webinar by making a reservation for an event via the Society’s website. You will receive a link to then register via the Zoom platform. It is after this second registration step that you will receive the link to join the webinar.