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</html><description>Description: Exemplar-Based Learning is a machine learning approach that focuses on using specific examples to improve model performance. This method is based on the idea that models can learn patterns and make more accurate predictions by observing concrete examples rather than relying solely on general rules or abstract features. In this approach, training data is [&hellip;]</description></oembed>
