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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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💫❤️🙏O amor não se constrói na perfeição, mas na coragem de aceitar as diferenças, em reconhecer que ambos têm feridas e aprendizados, e ainda assim decidem caminhar juntos 👫. Não é sobre fugir quando os problemas aparecem, é sobre se olhar com ternura mesmo em meio ao caos, escolher respeito acima do orgulho, se reencontrar de novo e de novo 🤍. Quando você aceita o outro na sua humanidade, com erros e virtudes, o vínculo se torna mais forte do que qualquer idealização.
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