Start time: 12.30 pm
End time: 2.00 pm
The recording of this webinar can be found on:
The second session in a series of two talks on the topic of applying machine learning (ML) techniques in general insurance reserving. This talk builds on the first session focusing on validation, feature engineering, interpreting ML results and comparing performance to traditional reserving techniques for different claims characteristics. Attendance at the first session would be beneficial to attendees of this talk, but it is not essential. This talk was previously presented at GIRO 2021.
Click here to see the event page for the first session.
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.
Deep Dive: This is a Deep Dive Event.