Uporaba strojnega učenja za napovedovanje škodnih dogodkov : na študijskem programu 2. stopnje Matematika : magistrsko delo

(UM)

Uporaba strojnega učenja za napovedovanje škodnih dogodkov : na študijskem programu 2. stopnje Matematika : magistrsko delo

Čoh, Vito

V magistrskem delu je predstavljena uporaba posplošenega linearnega modela in različnih metod strojnega učenja v zavarovalništvu. Delo je razdeljeno na teoretični in praktični del. Na začetku ... teoretičnega dela so opisani osnovni pojmi iz verjetnosti in zavarovalništva. Predstavljeno je tudi, kako zavarovalnice določijo višino premije. Nato sta predstavljena teoretično ozadje posplošenega linearnega modela in uporaba tega modela za napovedovanje višine škode. Na koncu teoretičnega dela pa je opisano strojno učenje in bolj podrobno so predstavljena odločitvena drevesa, naključni gozdovi ter nevronske mreže. V praktičnem delu magistrskega dela pa so posplošeni linearni model, naključni gozd in nevronska mreža uporabljeni za napovedovanje višine škode pri avtomobilskem zavarovanju. Najprej so podatki predstavljeni ter ustrezno obdelani. Nato so določeni parametri posameznih modelov. Na koncu pa so modeli med seboj primerjani in izbran je najboljši model.

Type of material - master's thesis ; adult, serious

Publication and manufacture - Maribor : [V. Čoh], 2020

Language - slovenian

COBISS.SI-ID - 17705219

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Digital Library of the University of Maribor – DLUM

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Jakovac, Marko | Harej, Bor

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Library	Call number – location, accession no. ...	Copy status
Miklošič Library FPNM, Maribor	D MAG 51 ČOH V. Uporaba IN: 920200010	available - reading room

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Year	Impact factor		Edition		Category		Classification
Year	JCR	SNIP	JCR	SNIP	JCR	SNIP	JCR	SNIP

Links to authors' personal bibliographies	Links to information on researchers in the SICRIS system
Čoh, Vito
Jakovac, Marko	29919
Harej, Bor

Source: Personal bibliographies and: SICRIS

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