What are the different types of AI training datasets?
AI training datasets can be categorized into several types, including labeled, unlabeled, semi-supervised, and reinforcement learning datasets.
Can you explain labeled and unlabeled datasets?
Sure! Labeled datasets have input-output pairs, where each input is tagged with the correct output. Unlabeled datasets, on the other hand, contain inputs without any corresponding outputs.
What is a semi-supervised dataset?
A semi-supervised dataset contains a small amount of labeled data and a large amount of unlabeled data, allowing models to learn from both.
What about reinforcement learning datasets?
Reinforcement learning datasets involve agents learning through interactions with an environment, receiving rewards or penalties based on their actions.
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