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What is Understanding Machine Learning Basics about?

This document discusses machine learning and provides examples of supervised and unsupervised learning problems. It defines machine learning as a field that gives computers the ability to learn without being explicitly programmed. Supervised learning involves predicting an output based on labeled examples, and can be used for regression (predicting continuous values) or classification (predicting discrete categories). Unsupervised learning finds hidden patterns in unlabeled data through clustering or dimens

Author

Bùi Hữu Thịnh

Language

EN