An AI dataset is a collection of data used for training, testing, and validating machine learning models, and its quality and diversity are crucial for accurate and reliable model performance.

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Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning unsupervised

from data that is unstructured or unlabeled.

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