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What is Supervised Vs Unsupervised Difference about?

Supervised machine learning uses labeled data for training, resulting in high accuracy and simpler computational complexity, while unsupervised learning operates on unlabeled data, is more complex, and less accurate. Supervised learning requires supervision and feedback mechanisms, whereas unsupervised learning does not and is divided into clustering and association types. Examples include optical character recognition for supervised learning and K-Means clustering for unsupervised learning.

Author

ksnvanandsai

Language

EN