diplomsko delo
Borut Flis (Avtor), Aleksander Sadikov (Mentor)

Povzetek

Napovedovanje dobička pri športnih stavah

Ključne besede

strojno učenje;športne stave;košarka;NBA;analiza tveganja;računalništvo;visokošolski strokovni študij;računalništvo in informatika;diplomske naloge;

Podatki

Jezik: Slovenski jezik
Leto izida:
Tipologija: 2.11 - Diplomsko delo
Organizacija: UL FRI - Fakulteta za računalništvo in informatiko
Založnik: [B. Flis]
UDK: 004.85:347.765(043.2)
COBISS: 1536039619 Povezava se bo odprla v novem oknu
Št. ogledov: 80
Št. prenosov: 3
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Angleški jezik
Sekundarni naslov: Predicting sports betting outcomes
Sekundarni povzetek: We wish to build a model, which could predict the outcome of basketball games. The goal was to achieve an sufficient enough accuracy to make a profit in sports betting. One learning example is a game in the NBA regular season. Every example has multiple features, which describe the opposing teams. We tried many methods, which return the probability of the home team winning and the probability of the away team winning. These probabilities are used for risk analysis. We used the best model in hypothetical sports betting and measured potential net profit. The results are not perfect, so we mentioned possible improvements. I think that a lot of the ideas could also be of use in other fields, which deal with risk and predicting the future.
Sekundarne ključne besede: machine learning;sport betting;basketball;NBA;risk analysis;computer science;computer and information science;diploma;
Vrsta datoteke: application/pdf
Vrsta dela (COBISS): Diplomsko delo/naloga
Študijski program: 1000470
Komentar na gradivo: Univ. v Ljubljani, Fak. za računalništvo in informatiko
Strani: 21 str.
ID: 8739456
Priporočena dela:
, diplomsko delo visokošolskega študijskega programa Informacijska varnost
, predlog družbeno odgovornega modela oglaševanja