Traditional machine learning

Machine learning that uses classical statistical methods and human-selected features on structured data (tables, spreadsheets, databases) to find patterns, classify, and predict. Techniques include clustering and k-nearest-neighbour. Distinct from deep learning, which handles unstructured data.

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