Basic Semi-supervised Machine Learning Methods

Semi-supervised learning is a kind of machine learning which allows the use of unlabelled as well labelled data in the process of training models and making predictions.

In this video, we provide a brief overview of the two paradigms of semi-supervised learning, inductive and transductive, and describe two example algorithms.

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