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Supervised learning is a machine learning approach that utilizes labeled data to train algorithms, enabling them to identify patterns and make predictions. It encompasses two main types: classification, which categorizes data, and regression, which predicts continuous outcomes. While it offers advantages like ease of understanding and applicability to real-world problems, it also has limitations such as inability to handle complex issues and reliance on labeled data.

Author

chandrabalaji.2005

Language

EN