Pattern recognition in ML (2)
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Pattern recognition in machine learning is the process of identifying and understanding recurring structures or relationships within data. It involves training algorithms to recognize patterns, such as shapes, features, or trends, in order to make predictions, classify data, or extract valuable insights. This field plays a crucial role in tasks like image and speech recognition, fraud detection, and anomaly detection by enabling automated learning and decision-making based on observed patterns.
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Pattern recognition in ML (2)
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