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ML 02 Unsupervised Learning by Ekin Kar is a document available to read on EtoBox.

What is ML 02 Unsupervised Learning about?

Unsupervised learning is a machine learning approach that identifies patterns in unlabeled data, making it valuable for exploratory analysis. Key tasks include clustering, dimensionality reduction, density estimation, and anomaly detection, with various algorithms like K-Means, Hierarchical Clustering, and PCA used for different purposes. This method is widely applicable in fields such as marketing, cybersecurity, and bioinformatics, enhancing the performance of subsequent supervised models.

Author

Ekin Kar

Language

EN