Differentiate between supervised and un-supervised learning. Give an example of each.

Supervised Learning vs. Unsupervised Learning in Pattern Recognition and Image Processing

Pattern recognition and image processing are fields within artificial intelligence that involve teaching machines to interpret and make decisions based on data. Supervised and unsupervised learning are two fundamental approaches employed in these domains, each serving distinct purposes in the development of intelligent systems.

Supervised Learning:

Supervised learning is a type of machine learning where the algorithm is trained on a labeled dataset, meaning the input data is paired with corresponding output labels. The ______ ___ ___ _______ ____ _________.
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