APPLICATION OF SUPERVISED LEARNING
UNSUPERVISED LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Identifying patterns in the dataset
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Using class labels
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None of these
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Both of these
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Detailed explanation-1: -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”).
Detailed explanation-2: -Unsupervised machine learning finds all kind of unknown patterns in data. Unsupervised methods help you to find features which can be useful for categorization. It is taken place in real time, so all the input data to be analyzed and labeled in the presence of learners.
Detailed explanation-3: -Unsupervised machine learning is the training of models on raw and unlabelled training data. It is often used to identify patterns and trends in raw datasets, or to cluster similar data into a specific number of groups.