TRABALHOS DE FIM DE CURSO @PUC-Rio
| Título: | EXPLORING MACHINE LEARNING FEATURES IN THE CLOUD USING THE SERVERLESS MODEL | ||||||||||||
| Autor(es): |
INGRID ORNELLAS CODA SANT ANNA GOMES |
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| Colaborador(es): |
MARCOS KALINOWSKI - Orientador TATIANA ESCOVEDO - Coorientador |
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| Catalogação: | 14 11:10:20.000000/SET/2021 | Idioma(s): | PORTUGUESE - BRAZIL |
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| Tipo: | TEXT | Subtipo: | SENIOR PROJECT | ||||||||||
| Notas: |
[pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio. [en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio. |
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| Referência(s): |
[pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/TFCs/consultas/conteudo.php?strSecao=resultado&nrSeq=54717@1 [en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/TFCs/consultas/conteudo.php?strSecao=resultado&nrSeq=54717@2 |
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| DOI: | https://doi.org/10.17771/PUCRio.acad.54717 | ||||||||||||
| Resumo: | |||||||||||||
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Developing Machine Learning applications may require a reasonable knowledge of infrastructure and how to properly provision it from the software developer. In this paper, Machine Learning applications are exploited using Serverless infrastructure resources available on cloud computing platforms. Thus, it is proposed to analyze its benefits, difficulties and limitations, based mainly on the point of view of the developer. From this perspective, the process of developing Machine Learning applications becomes something simpler, thus helping the developer deliver software of this type faster, more efficiently and provisioned.
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