EMERGING TRENDS IN COMPUTING
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Which of the these machine learning types uses a combination of labeled and unlabeled data?
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Supervised learning
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Semi-supervised learning
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Unsupervised learning
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Reinforcement learning
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Explanation:
Detailed explanation-1: -Semi-Supervised learning is a type of Machine Learning algorithm that represents the intermediate ground between Supervised and Unsupervised learning algorithms. It uses the combination of labeled and unlabeled datasets during the training period.
Detailed explanation-2: -Semi-supervised learning is a class of machine learning techniques that make use of both labeled and unlabeled examples when learning a model.
Detailed explanation-3: -Unsupervised learning, also known as unsupervised machine learning, uses machine learning algorithms to analyze and cluster unlabeled datasets. These algorithms discover hidden patterns or data groupings without the need for human intervention.
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