baumhaus.digital/Miscellanous/Presentations/AE53/oeb.global/Human-Machine Peer Learning (HMPL): What and Why?/Theory/Machine learning
Machine learning is a subset of artificial intelligence focused on developing algorithms that enable computers to learn and make decisions from data without being explicitly programmed. It involves training models on large datasets, allowing them to discover patterns and relationships. These models can then make inferences, decisions or predictions or generate outputs consistent with and contingent on the provided input even in cases where no such inputs were present during the learning process.
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