What is semi-supervised learning in machine learning?

Experience Level: Junior
Tags: Machine learning

Answer

Semi-supervised learning is a type of machine learning where a model is trained using a combination of labeled and unlabeled data. By leveraging both labeled and unlabeled data, semi-supervised learning can achieve better performance than supervised learning with limited labeled data. Semi-supervised learning has been successfully applied in a wide range of applications, such as speech recognition, image classification, and natural language processing.
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