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 below is not supervised learning?
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Spam email identification
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House price prediction
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Clustering customers into different groups of similarity
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None of the above
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Explanation:
Detailed explanation-1: -Unlike supervised methods, clustering is an unsupervised method that works on datasets in which there is no outcome (target) variable nor is anything known about the relationship between the observations, that is, unlabeled data.
Detailed explanation-2: -Machine Learning “Clustering” is the process of grouping similar entities together. The goal of this unsupervised machine learning technique is to find similarities in the data point and group similar data points together.
Detailed explanation-3: -As clustering is unsupervised machine learning, it doesn’t require a labeled dataset. Clustering itself is not one specific algorithm but the general task to be solved.
There is 1 question to complete.