Elementos básicos de aprendizagem de máquina
DOI:
https://doi.org/10.22481/intermaths.v4i2.13422Abstract
Neste trabalho realizamos a revisão de seis artigos científicos sobre a evasão escolar que utilizaram Aprendizagem de Máquina como metodologia para detectar as possíveis causas. A metodologia utilizada por esta pesquisa é a bibliográfica, pois investigou-se quais são os temas e elementos técnicos de cada um dos artigos, principalmente em relação a aprendizagem de máquina. Os resultados obtidos são sobre os principais elementos que estruturam os algoritmos de aprendizagem de máquina a partir dos seis artigos científicos estudados. O tema é muito abrangente e envolve diversas áreas e subáreas do conhecimento científico, como por exemplo Álgebra Linear, Matrizes, Teoria da Computação, Computabilidade, Modelos de Computação, Linguagem Formais e Autômatos, Análise de Algoritmos e Complexidade Computacional. As Técnicas de Mineração de Dados (EDM) são as ações utilizadas para encontrar padrões em um grande volume de dados. Estes padrões podem ser explicativos, de modo a descrever as relações entre segmentos de dados, ou preditivos, os quais podem prever valores futuros baseados em dados anteriores. Ao final, o leitor terá uma visão ampla de como ocorre todo o processo metodológico de produção e construção de aprendizagem de máquina.
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