Define Supervised, Unsupervised and Reinforcement learning with a suitable carples of each

Supervised learning, unsupervised learning, and reinforcement learning are three fundamental paradigms of Artificial Intelligence (AI) and Machine Learning (ML). Each learning type has a distinct approach to training models and solving problems.

Supervised Learning

Supervised learning is a machine learning approach where the model learns from labeled data. Each training dataset consists of input-output pairs, where the model tries to map the input to the correct output based on the given labels. The goal is to minimize the error ___ ____ ______ _________ _________ ___ ________ _________.
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