APPLICATION OF SUPERVISED LEARNING
NEURAL NETWORK
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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When the machine will be provided with features only. It will then try to group objects with similar features
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Supervised Learning
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Unsupervised Learning
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Either A or B
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None of the above
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Explanation:
Detailed explanation-1: -Unsupervised learning is helpful for data science teams that don’t know what they’re looking for in data. It can be used to search for unknown similarities and differences in data and create corresponding groups. For example, user categorization by their social media activity.
Detailed explanation-2: -Clustering is an unsupervised learning technique, which groups unlabeled data points based on their similarity and differences. Hence, points are grouped into clusters in such a way that those in a same group have the most similarity with each other, while points in different groups have little to no similarities.
Detailed explanation-3: -Clustering and Association are two types of Unsupervised learning.
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