It is the training of machine using information that is unlabeled and allowing the algorithm to act on that information without guidance.

TYPES OF MACHINE LEARNING

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Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]

A	Supervised Learning
B	Unsupervised Learning
C	Reinforcement Learning
D	None of the above

Explanation:

Detailed explanation-1: -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-2: -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-3: -Unsupervised learning refers to the use of artificial intelligence (AI) algorithms to identify patterns in data sets containing data points that are neither classified nor labeled.

Detailed explanation-4: -And, unsupervised learning is where the machine is given training based on unlabeled data without any guidance.

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