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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
 BibTeX