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 is commonly used for finding meaningful patterns and groupings inherent in data, extracting generative features, and exploratory purposes.
Detailed explanation-3: -The most commonly used unsupervised learning algorithms are: K-means clustering. Hierarchical clustering. Apriori algorithm.
Detailed explanation-4: -Clustering and Association are two types of Unsupervised learning.
Detailed explanation-5: -Supervised machine learning is generally used to classify data or make predictions, whereas unsupervised learning is generally used to understand relationships within datasets. Supervised machine learning is much more resource-intensive because of the need for labelled data.