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Unsupervised learning

🌐 public · created AE541016 (16.10.2024) · by DDH · open in the standard editor view · 📽 open as presentation

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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Descendants (at least 3 branches originate here)

  • 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 st
    • is_parent Clustering ·
      Clustering is a machine learning technique used to group a set of data points into clusters based on their similarity. It is an unsupervised learning method, me
    • is_parent Example of unsupervised learning ·
      Imagine you have a big collection of music tracks from various genres, but you don’t know the genre of each track. Using unsupervised learning, like a clu