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What is supervised learning and Unsupervised learning in Machine learning ?
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Supervised Learning  Unsupervised Learning

Supervised learning is where a computer algorithm is trained on input data that has been labeled for a particular output. Classification and Regression models are also types of supervised learning.

In terms of machine learning, unsupervised learning is in which a system learns through data sets created on its own. In this, the training is not labeled. It is divided into clustering and dimensionality reduction.
For example- A shape with three sides is labeled as a triangle. Learning on its own is termed Unsupervised learning

Supervised Learning


Study more about ML at ML Class 10

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