Found 2 relevant results in 1.67s where lecturer="Christoph Markus Buser"

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401-3936-00L 2020S , 2021S , 2022S , 2023S , 2024S , 2025S 4 Credits BSC , DR , MSC D-ITET , D-MATH , D-INFK

We study statistical methods in supervised learning for non-life insurance pricing such as generalized linear models, generalized additive models, Bayesian models, neural networks, classification and regression trees, random forests and gradient boosting machines.

2020S
2021S
2022S
2023S
2024S
401-3936-DRL 2022S , 2023S , 2024S 1 Credits DR D-MATH

We study statistical methods in supervised learning for non-life insurance pricing such as generalized linear models, generalized additive models, Bayesian models, neural networks, classification and regression trees, random forests and gradient boosting machines.

2022S
2023S