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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Un supervised Learning
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None
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Reinforcement Learning
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Detailed explanation-1: -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-2: -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-3: -There are many ways to frame this idea, but largely there are three major recognized categories: supervised learning, unsupervised learning, and reinforcement learning.
Detailed explanation-4: -There are four types of machine learning algorithms: supervised, semi-supervised, unsupervised and reinforcement.
Detailed explanation-5: -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”).