COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Supervised Learning
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Unsupervised Learning
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Reinforcement Learning
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None of the above
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Detailed explanation-1: -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.
Detailed explanation-2: -Unsupervised Learning The computer is trained with unlabeled data.
Detailed explanation-3: -Unsupervised learning (UL) is a machine learning algorithm that works with datasets without labeled responses. It is most commonly used to find hidden patterns in large unlabeled datasets through cluster analysis.
Detailed explanation-4: -Labeled data is used in supervised learning, whereas unlabeled data is used in unsupervised learning . Labeled data is more difficult to acquire and store (i.e. time consuming and expensive), whereas unlabeled data is easier to acquire and store.
Detailed explanation-5: -Unsupervised learning uses machine learning algorithms to analyze and cluster unlabeled data sets. These algorithms discover hidden patterns in data without the need for human intervention (hence, they are “unsupervised”).