Pseudo-labelling
Imagine you're trying to learn the names of various plants in your garden, but you only know a few of them. To speed up the learning process, you start by labeling those few you're confident about. Then, you make educated guesses about the rest based on similarities to the ones you know, tagging them with tentative names. Over time, as you learn more about each plant, you refine these guesses, gradually improving your garden's overall labeling. This approach of starting with what you know and expanding through educated guesses mirrors the idea of Pseudo-Labeling in the realm of Artificial Intelligence (AI) and Machine Learning (ML).
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