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Lecture
Examples of decision models for Supervised learning
Description
This lecture presents examples of decision models for supervised learning, including ordinary least squares regression, classification, ranking pairs, and sequence decoding for OCR models. It covers topics such as square loss, mean square risk, 0-1 loss, misclassification error, and target function assignment.
Official source
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