Unsuppervised learning in a supervised problem

Dawid Laszuk published on
3 min, 493 words

Unsupervised learning is a powerful technique in machine learning, particularly when dealing with datasets where labeled data is unavailable. It allows the model to identify patterns, structures, and relationships in the input data without any human supervision or guidance. This can be particularly useful for tasks such as categorizing images, identifying anomalies in time series data, or detecting outliers in graphs.

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