Human Learning, Learns from experiences, Uses senses, Can learn from a few examples, Uses reasoning and context, Can ask questions, Can transfer knowledge between situations, Can understand meaning, Can learn continuously, Machine Learning, Learns from data, Uses input/data, Often needs many examples, Finds statistical patterns, Doesn't naturally ask questions, Usually needs relevant training/data, Detects patterns without human-like understanding, Model learns through a training process

Human Learning vs Machine Learning

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