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Human vs. Machine Learning: A Comparative Study
This chapter examines the differences between human and computer learning, using the identity function as a focal point. It highlights the limitations of deep learning systems in generalizing beyond their training data, contrasting it with human abilities to recognize patterns and the implications for technologies like driverless cars.