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</html><description>Description: One-Shot Learning is an approach within machine learning that allows models to learn to classify or recognize objects from a single example per class. This method is particularly relevant in situations where data collection is costly or difficult, such as in image recognition or computer vision applications. Unlike traditional approaches that require large volumes [&hellip;]</description></oembed>
