Explain Supervised, Unsupervised and Reinforcement learning.
Supervised Learning, Unsupervised Learning, and Reinforcement Learning are three fundamental paradigms in machine learning, each with distinct approaches and applications in digital image processing and computer vision.
1. Supervised Learning:
Supervised learning involves training a model on a labeled dataset, where each input data point is associated with a corresponding target label. The goal is to learn a mapping from inputs to outputs based _____ __________ ___ ________ __________ ________ ____ __________ __________ _______ ____ ______.
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