Answer / Srikant Choudhary

Unsupervised learning is a type of machine learning where the algorithm learns to find patterns or relationships in data without being explicitly told what those patterns are. The algorithm identifies structure in the input data and groups similar instances together. Common unsupervised learning algorithms include clustering (k-means, hierarchical clustering), principal component analysis (PCA), and autoencoders. These algorithms can be used for tasks such as data compression, anomaly detection, and feature extraction.

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