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27/02/2024 3:37 pm
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Supervised Learning: In supervised learning, the AI system is trained on a labeled dataset, which means that each example in the training set is paired with the correct output. The system learns to predict the output from the input data.
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Unsupervised Learning: This involves training the AI system on data without explicit instructions on what to do. It tries to identify patterns and relationships in the data on its own.
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Reinforcement Learning: In reinforcement learning, an AI system learns to make decisions by taking certain actions and receiving rewards or penalties in return. It's akin to learning through trial and error. Project Valvrein