Machine learning (ML) is defined as a discipline of artificial intelligence (AI) that provides machines the ability to automatically learn from data and past experiences to identify patterns and make predictions with minimal human intervention.Semi-supervised learning is a branch of machine learning that combines supervised and unsupervised learning by using both labeled and unlabeled data to train artificial intelligence (AI) models for classification and regression tasks.
Semi-supervised machine learning is a type of machine learning where the model is trained on a combination of labeled and unlabeled data. In traditional supervised learning, all training examples are labeled with the correct output. However, in semi-supervised learning, only a subset of the data is labeled, while the majority of the data remains unlabeled.
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