Unsupervised Learning
Unsupervised learning is a type of machine learning that deals with unlabeled data. The goal is to model the underlying structure or distribution in the data to learn more about it, without any explicit instruction on what to predict.
Applications of Unsupervised Learning
Unsupervised learning is used for clustering, association, and dimensionality reduction tasks. Examples include customer segmentation in marketing, anomaly detection in network security, and reducing the number of features in a dataset while retaining important information.
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