Categories
- ACTUARIAL DATA SCIENCE
- AFIR / ERM / RISK
- ASTIN / NON-LIFE
- BANKING / FINANCE
- DIVERSITY & INCLUSION
- EDUCATION
- HEALTH
- IACA / CONSULTING
- LIFE
- PENSIONS
- PROFESSIONALISM
- Thought Leadership
- MISC
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.
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