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Document type:
Masterarbeit 
Author(s):
Michal Martonak 
Title:
Bayesian Modelling of Insurance Risks with Deep Learning 
Abstract:
One of the still manual tasks involved in solving any problem by machine learning is feature engineering. This is often a time-consuming step and has a huge impact on the performance of the model. An important and useful property of machine learning models is the ability to estimate the uncertainty in their predictions. This is especially important in some specific areas, such as critical-safety applications or medicine. In this thesis, we first lay the theoretical foundations and later benchmark...    »
 
Subject:
MAT Mathematik 
DDC:
510 Mathematik 
Advisor:
Mathias Drton 
Date of acceptation:
27.02.2021 
Year:
2021 
Quarter:
1. Quartal 
Year / month:
2021-02 
Month:
Feb 
Pages:
81 
Language:
en 
University:
Technische Universität München 
Faculty:
Fakultät für Mathematik 
TUM Institution:
Lehrstuhl für Mathematische Statistik 
Format:
Text