An overview of the main machine learning models - from theory to algorithms

Detalhes bibliográficos
Autor(a) principal: Figueiredo, Lucas Marnoto
Data de Publicação: 2020
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/110804
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics
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spelling An overview of the main machine learning models - from theory to algorithmsMachine LearningAlgorithmsPredictionSupervised LearningUnsupervised LearningRegressionClassificationClusteringDissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced AnalyticsIn the context of solving highly complex problems, Artificial Intelligence shows an exponential growth over the past years allowing the Machine Learning to augment and sometimes to outperform the human learning. From driverless cars to automatic recommendation on Netflix, we are surrounded by AI, even if we do not notice it. Furthermore, companies have recently adopted new frameworks in their routines which are mainly composed by algorithms able to solve complex problems in a short period of time. The growth of AI technologies has been absolutely stunning and yes, it is only possible because a sub-field of AI called Machine Learning is growing even faster. In a small scale, Machine Learning may be seen as a simple system able to find patterns on data and learn from it. However, it is precisely that learning process that in a large scale will allow machines to mimic the human behavior and perform tasks that would eventually require human intelligence. Just for us to have an idea, according to Forbes the global Machine Learning market was evaluated in $1.7B in 2017 and it is expected to reach almost $21B in 2024. Naturally, Machine Learning has become an attractive and profitable scientific area that demands continuous learning since there is always something new being discovered. During the last decades, a huge number of algorithms have been proposed by the research community, which sometimes may cause some confusion of how and when to use each one of them. That is exactly what is pretended in this thesis, over the next chapters we are going to review the main Machine Learning models and their respective advantages/disadvantages.Castelli, MauroRUNFigueiredo, Lucas Marnoto2021-01-27T10:02:48Z2020-12-142020-12-14T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/110804TID:202586782enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:54:41Zoai:run.unl.pt:10362/110804Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:41:43.615065Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv An overview of the main machine learning models - from theory to algorithms
title An overview of the main machine learning models - from theory to algorithms
spellingShingle An overview of the main machine learning models - from theory to algorithms
Figueiredo, Lucas Marnoto
Machine Learning
Algorithms
Prediction
Supervised Learning
Unsupervised Learning
Regression
Classification
Clustering
title_short An overview of the main machine learning models - from theory to algorithms
title_full An overview of the main machine learning models - from theory to algorithms
title_fullStr An overview of the main machine learning models - from theory to algorithms
title_full_unstemmed An overview of the main machine learning models - from theory to algorithms
title_sort An overview of the main machine learning models - from theory to algorithms
author Figueiredo, Lucas Marnoto
author_facet Figueiredo, Lucas Marnoto
author_role author
dc.contributor.none.fl_str_mv Castelli, Mauro
RUN
dc.contributor.author.fl_str_mv Figueiredo, Lucas Marnoto
dc.subject.por.fl_str_mv Machine Learning
Algorithms
Prediction
Supervised Learning
Unsupervised Learning
Regression
Classification
Clustering
topic Machine Learning
Algorithms
Prediction
Supervised Learning
Unsupervised Learning
Regression
Classification
Clustering
description Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics
publishDate 2020
dc.date.none.fl_str_mv 2020-12-14
2020-12-14T00:00:00Z
2021-01-27T10:02:48Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/110804
TID:202586782
url http://hdl.handle.net/10362/110804
identifier_str_mv TID:202586782
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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