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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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Qual dessas lições você acha mais importante? Comenta aqui embaixo e envia esse vídeo para alguém que precisa ouvir isso hoje.
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🎬 Comente “EU QUERO” que vamos te enviar um acesso grátis de uma plataforma para você assistir a esse e a muitos outros filmes, lá tem de tudo em um lugar só, Netflix, Prime Video, MAX, Disney+, Novelas e mais milhares de canais fechados e ao vivo, tudo liberado 😱😍 #viral #filmes #kawaii #shorts #reels
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