COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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learning with a teacher
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learning without a teacher
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computer teaching a human
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learning using another computer
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Detailed explanation-1: -We can think of unsupervised learning problems as being divided into two categories: clustering and association rules. Clustering is an unsupervised learning technique, which groups unlabeled data points based on their similarity and differences.
Detailed explanation-2: -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.
Detailed explanation-3: -What is unsupervised learning? Unsupervised learning, also known as unsupervised machine learning, uses machine learning algorithms to analyze and cluster unlabeled datasets. These algorithms discover hidden patterns or data groupings without the need for human intervention.
Detailed explanation-4: -In unsupervised learning, there is no instructor or teacher, and the algorithm must learn to make sense of the data without this guide.