APPLICATION OF SUPERVISED LEARNING
SUPERVISED AND UNSUPERVISED LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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____ is a learning model that is used to identify a relationship between large amounts of information from a data set.
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Classification
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Multi class classification
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Association
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Unsupervised learning
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Explanation:
Detailed explanation-1: -Unsupervised machine learning is the training of models on raw and unlabelled training data. It is often used to identify patterns and trends in raw datasets, or to cluster similar data into a specific number of groups.
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: -K-means clustering. KNN (k-nearest neighbors) Hierarchal clustering. Anomaly detection. Neural Networks. Principle Component Analysis. Independent Component Analysis. Apriori algorithm. More items
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