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Semi-supervised learning

class of machine learning techniques combining a small amount of labeled data with a large amount of unlabeled data during training

Pronunciation
/ˈsɛmaɪ - ˈsupərˌvaɪzd ˈlərnɪŋ/
/ˈsɛmi - ˈsuːpəvʌɪzd ˈləːnɪŋ/