LEARNING OBJECTS FOR STUDYING THE MATHEMATICAL FRAMEWORK OF MACHINE LEARNING CLASSIFICATION TECHNIQUES AND THEIR PERFORMANCE EVALUATION METRICS (Atena Editora)

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MetadadosDescriçãoIdioma
Autor(es): dc.contributor.authorJunior, Rubens Dias Rodrigues-
Autor(es): dc.contributor.authorOliveira, Ivan Carlos Alcântara de-
Data de aceite: dc.date.accessioned2024-08-29T04:45:26Z-
Data de disponibilização: dc.date.available2024-08-29T04:45:26Z-
Data de envio: dc.date.issued2024-08-28-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/869191-
Resumo: dc.description.abstractA learning object (LO) is any educational resource intended to support students' study and learning. They are reusable and can incorporate text, graphics, animations, audio, and video. Based on the above, this work carried out the design and development of three LOs to guide those interested in the subject to understand the mathematical components of the KNN (K-Nearest Neighbors), Naïve Bayes, and SVM (Support Vector Machines) algorithms using Python as a coding platform and Jupyter Notebook pages containing text, graphics, and videos to enrich the learning experience.pt_BR
Idioma: dc.language.isoenpt_BR
Palavras-chave: dc.subjectLearningpt_BR
Título: dc.titleLEARNING OBJECTS FOR STUDYING THE MATHEMATICAL FRAMEWORK OF MACHINE LEARNING CLASSIFICATION TECHNIQUES AND THEIR PERFORMANCE EVALUATION METRICS (Atena Editora)pt_BR
Tipo de arquivo: dc.typelivro digitalpt_BR
Aparece nas coleções:Livros digitais