Supervised Learning
Learn the basic principles of supervised machine learning.
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Supervised ML is a type of ML where the algorithm learns to map inputs to outputs based on a labeled dataset. The labeled dataset consists of input-output pairs, where the output (also called the label or target) is known for each input. The goal of supervised learning is to learn a function that can map new inputs to the correct output.
The first step in supervised learning is to prepare a dataset that contains labeled examples of the problem we want to solve. Labeling is the crucial ...