APPLICATION OF SUPERVISED LEARNING
ARTIFICIAL INTELLIGENCE
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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: -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. A good example would be grouping customers by their purchasing habits.
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.
Detailed explanation-3: -Unsupervised learning is a machine learning technique, where you do not need to supervise the model. Unsupervised machine learning helps you to finds all kind of unknown patterns in data. Clustering and Association are two types of Unsupervised learning.