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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The process of learning an action through feedback and practice until the action is completed.
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The process of learning with training labels (like donut or bagel from the crash course video).
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The process of learning without training labels through grouping and clustering things that are similar.
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None of the above
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Detailed explanation-1: -Clustering. Clustering is a data mining technique which groups unlabeled data based on their similarities or differences. Clustering algorithms are used to process raw, unclassified data objects into groups represented by structures or patterns in the information.
Detailed explanation-2: -“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. Why use Clustering?
Detailed explanation-3: -Unsupervised learning is when it can provide a set of unlabelled data, which it is required to analyze and find patterns inside. The examples are dimension reduction and clustering.