COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Supervised learning
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Active learning
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Unsupervised learning
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Reinforcement learning
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Detailed explanation-1: -Following is also called as exploratory learning:a) Supervised learningb) Active learningc) Unsupervised learningd) Reinforcement learningView AnswerAnswer: cExplanation: In unsupervised learning no teacher is available hence it is also calledunsupervised learning.
Detailed explanation-2: -an approach to teaching and training that encourages the learner to explore and experiment to uncover relationships, with much less of a focus on didactic training (teaching students by lecturing them).
Detailed explanation-3: -Two common use-cases for unsupervised learning are exploratory analysis and dimensionality reduction. Unsupervised learning is very useful in exploratory analysis because it can automatically identify structure in data.
Detailed explanation-4: -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-5: -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.