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요약
Machine learning fundamentals are essential for AI engineers, focusing on intelligence, world models, and data. Key concepts include machine learning, deep learning, and reinforcement learning, emphasizing the importance of model training and data quality. Understanding these elements helps build effective models that align with reality and improve decision-making.