ChatGPT as a Data Scientist: Can AI Handle Clustering Better Than a Human?

Detalhes bibliográficos
Autor(a) principal: Lemesev, Alexandru
Data de Publicação: 2024
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10362/175064
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
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spelling ChatGPT as a Data Scientist: Can AI Handle Clustering Better Than a Human?ChatGPTData ScienceArtificial IntelligenceClusteringPythonDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da InformaçãoDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceArtificial intelligence (AI) has rapidly advanced in recent years, becoming a significant trend in various fields, including data science. This thesis explores how ChatGPT, an AI language model, performs as a data scientist compared to a human counterpart. Using both quantitative and qualitative methods, the study evaluates ChatGPT's ability to handle essential data science tasks like code generation, code completion, and clustering analysis. Insights from a survey completed by data scientists in Portugal shed light on their experiences with AI tools and their views on AI's role in their work. The research also involved a hands-on comparison between ChatGPT and a human data scientist handling a clustering problem. The results show that while ChatGPT is efficient and capable in managing routine data science tasks, it struggles with more complex analyses and often requires human oversight. Ethical concerns, such as biases in AI outputs, were also addressed. The findings suggest that AI and human expertise complement each other in the field of data science. Although AI tools like ChatGPT can boost productivity and efficiency, they cannot entirely replace the nuanced decision-making and creative problem-solving skills of human data scientists. This research emphasizes the importance of continued development to overcome these limitations and better integrate AI into data science workflows.Mamede, José Henrique Pereira SãoSantos, Vitor Manuel Pereira Duarte dosRUNLemesev, Alexandru2024-11-12T16:46:21Z2024-10-302024-10-30T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/175064TID:203777760enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-01-13T01:42:46Zoai:run.unl.pt:10362/175064Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T19:14:07.346449Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv ChatGPT as a Data Scientist: Can AI Handle Clustering Better Than a Human?
title ChatGPT as a Data Scientist: Can AI Handle Clustering Better Than a Human?
spellingShingle ChatGPT as a Data Scientist: Can AI Handle Clustering Better Than a Human?
Lemesev, Alexandru
ChatGPT
Data Science
Artificial Intelligence
Clustering
Python
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
title_short ChatGPT as a Data Scientist: Can AI Handle Clustering Better Than a Human?
title_full ChatGPT as a Data Scientist: Can AI Handle Clustering Better Than a Human?
title_fullStr ChatGPT as a Data Scientist: Can AI Handle Clustering Better Than a Human?
title_full_unstemmed ChatGPT as a Data Scientist: Can AI Handle Clustering Better Than a Human?
title_sort ChatGPT as a Data Scientist: Can AI Handle Clustering Better Than a Human?
author Lemesev, Alexandru
author_facet Lemesev, Alexandru
author_role author
dc.contributor.none.fl_str_mv Mamede, José Henrique Pereira São
Santos, Vitor Manuel Pereira Duarte dos
RUN
dc.contributor.author.fl_str_mv Lemesev, Alexandru
dc.subject.por.fl_str_mv ChatGPT
Data Science
Artificial Intelligence
Clustering
Python
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
topic ChatGPT
Data Science
Artificial Intelligence
Clustering
Python
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
publishDate 2024
dc.date.none.fl_str_mv 2024-11-12T16:46:21Z
2024-10-30
2024-10-30T00:00:00Z
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/10362/175064
TID:203777760
url http://hdl.handle.net/10362/175064
identifier_str_mv TID:203777760
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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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