baumhaus.digital/Art, Cognition, Education/Human and Machine Learning/Implicit learning/Unsupervised learning

Unsupervised learning is a type of machine learning where a model is trained on data without labeled outcomes. The system analyzes and identifies patterns or structures in the data, such as clustering or associations, without explicit guidance on what to look for. It is often used for tasks like anomaly detection, clustering, and dimensionality reduction.

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❌ this knot is_parent 🔗 baumhaus.digital/Art, Cognition, Education/Human and Machine Learning/Implicit learning/Unsupervised learning/Clustering (ID: 1558 :: weight 1)
❌ this knot is_parent 🔗 baumhaus.digital/Art, Cognition, Education/Human and Machine Learning/Implicit learning/Unsupervised learning/Example of unsupervised learning (ID: 1559 :: weight 1)

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Knot 1547 has 2 dendrites

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