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Machine learning vs Deep learning
Machine learning is a subset of artificial intelligence that enables computers to learn without being explicitly programmed. It uses algorithms to learn from data and make predictions, such as recognizing patterns in images, text, and sound. Deep learning is a subset of machine learning that uses artificial neural networks to "learn" from large amounts of data in an unsupervised manner. Deep learning networks are capable of recognizing patterns in data that are more complex than those which can be recognized by traditional machine learning algorithms. Deep learning networks are also capable of learning from unlabeled data, making them more powerful and accurate than traditional machine learning algorithms.
Machine learning is a subset of artificial intelligence that enables computers to learn without being explicitly programmed. It uses algorithms to learn from data and make predictions, such as recognizing patterns in images, text, and sound. Deep learning is a subset of machine learning that uses artificial neural networks to "learn" from large amounts of data in an unsupervised manner. Deep learning networks are capable of recognizing patterns in data that are more complex than those which can be recognized by traditional machine learning algorithms. Deep learning networks are also capable of learning from unlabeled data, making them more powerful and accurate than traditional machine learning algorithms.