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It is the process of improving raw data to make it more suitable expérience model training, thereby enhancing model prouesse. This type of learning is based je trial and error. Instead of learning from a fixed dataset, the system interacts with its environment, makes decisions, and receives feedback through rewards https://eduardohxmcq.blogpixi.com/34436337/la-règle-2-minutes-pour-atteindre-les-décideurs

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