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Por que separar treino e teste em Machine Learning? Você confiaria em um aluno que fez a prova usando exatamente as mesmas perguntas que estudou? Em Inteligência Artificial, esse é um dos maiores erros que iniciantes cometem. Em Machine Learning, utilizamos dois conjuntos de dados: o conjunto de treino e o conjunto de teste. O conjunto de treino serve para ensinar o algoritmo a reconhecer padrões. É nele que o modelo aprende a relacionar informações e gerar previsões.
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A mulher não treina só por vaidade. Ela treina por necessidade. Porque o ferro silencia a mente, fortalece o corpo e acalma o coração. Treina pra suportar o peso da vida, não só o da barra. Mesmo cansada, ela vai. Porque o treino é refúgio, é terapia, é resistência. E todos os dias ela prova a si mesma que é mais forte do que imagina. Ela simplesmente não desiste de si.
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