COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Dataset
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Supervised learning
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Unsupervised learning
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Classifiers
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Detailed explanation-1: -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-2: -Unsupervised Learning It is used to draw inferences from datasets consisting of input data without labeled responses. Clustering is the most common unsupervised learning technique.
Detailed explanation-3: -Unsupervised learning is where you only have input data (X) and no corresponding output variables.
Detailed explanation-4: -What is unsupervised learning? Unsupervised learning uses machine learning algorithms to analyze and cluster unlabeled data sets. These algorithms discover hidden patterns in data without the need for human intervention (hence, they are “unsupervised”).
Detailed explanation-5: -Unsupervised learning is commonly used for finding meaningful patterns and groupings inherent in data, extracting generative features, and exploratory purposes.