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What is Overview of Learning Types in ML about?

Machine learning is a transformative technology divided into three main branches: Supervised Learning, which uses labeled data for predictions; Unsupervised Learning, which identifies patterns in unlabeled data; and Reinforcement Learning, where agents learn through rewards and penalties. Each method has distinct applications, and combining them can lead to effective solutions for complex problems. The document provides detailed explanations and examples for each learning type.

Author

KARABI KUMARI MEDHA 1604062

Language

EN