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Utilização de inteligência artificial no futebol: Recolha de dados por Web scraping e previsão de resultados na Liga Portuguesa
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| 7 MB | Adobe PDF |
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Abstract(s)
Nos últimos anos, o avanço tecnológico tem impulsionado significativamente a transformação
de diversas indústrias. Um dos pilares desse progresso é o uso crescente de
algoritmos de previsão baseados em Machine Learning. Esses algoritmos têm sido
aplicados numa ampla gama de setores, desde finanças, saúde, marketing, desporto,
passando pelas diversas áreas da engenharia, o que tem impulsionando a capacidade
das organizações anteciparem eventos futuros e tomarem decisões estratégicas
fundamentadamente.
O Machine Learning, como método de análise de dados, permite a automatização
de construção de modelos analíticos. Sendo um ramo da inteligência artificial que
se baseia na capacidade dos sistemas de aprenderem através dos dados, permitindo
identificar padrões e tomar decisões com uma reduzida intervenção humana.
Esta dissertação, propõe-se a explorar detalhadamente o desenvolvimento de um
algoritmo de previsão de resultados de futebol da Liga Portuguesa, baseado em
Machine Learning. Para tal, serão estudados vários algoritmos com o objetivo de
fornecer uma compreensão mais aprofundada dos métodos utilizados nesta área de
investigação.
In recent years, technological advances have significantly driven the transformation of several industries. One of the pillars of this progress is the increasing use of predictive algorithms based on Machine Learning. These algorithms have been applied in a wide range of sectors, from finance and health to marketing and sports and also in different areas of engineering, boosting organizations’ ability to anticipate future events and make informed strategic decisions. Machine Learning, as a method of analyzing data and automating the construction of analytical models, is a branch of artificial intelligence based on the ability of systems to learn from data, identify patterns and make decisions with little human intervention. This dissertation aims to explore in detail the development of an algorithm for predicting Portuguese league soccer results, based on Machine Learning. To this end, various algorithms will be studied with the aim of providing a more in-depth understanding of the methods used in this area of research.
In recent years, technological advances have significantly driven the transformation of several industries. One of the pillars of this progress is the increasing use of predictive algorithms based on Machine Learning. These algorithms have been applied in a wide range of sectors, from finance and health to marketing and sports and also in different areas of engineering, boosting organizations’ ability to anticipate future events and make informed strategic decisions. Machine Learning, as a method of analyzing data and automating the construction of analytical models, is a branch of artificial intelligence based on the ability of systems to learn from data, identify patterns and make decisions with little human intervention. This dissertation aims to explore in detail the development of an algorithm for predicting Portuguese league soccer results, based on Machine Learning. To this end, various algorithms will be studied with the aim of providing a more in-depth understanding of the methods used in this area of research.
Description
Keywords
Algoritmos de previsão Machine learning Análise de dados Modelos analíticos Inteligência artificial Identificação de padrões Tomada de decisões Predictive algorithms Analysing data Analytical models Artificial intelligence Identifying patterns Making decisions