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  2. Unsupervised learning - Wikipedia

    en.wikipedia.org/wiki/Unsupervised_learning

    Unsupervised learning is a framework in machine learning where, in contrast to supervised learning, algorithms learn patterns exclusively from unlabeled data. [1] Other frameworks in the spectrum of supervisions include weak- or semi-supervision, where a small portion of the data is tagged, and self-supervision.

  3. Feature learning - Wikipedia

    en.wikipedia.org/wiki/Feature_learning

    Unsupervised feature learning is learning features from unlabeled data. The goal of unsupervised feature learning is often to discover low-dimensional features that capture some structure underlying the high-dimensional input data.

  4. Weak supervision - Wikipedia

    en.wikipedia.org/wiki/Weak_supervision

    Semi-supervised learning combines this information to surpass the classification performance that can be obtained either by discarding the unlabeled data and doing supervised learning or by discarding the labels and doing unsupervised learning. Semi-supervised learning may refer to either transductive learning or inductive learning. [1]

  5. Self-organizing map - Wikipedia

    en.wikipedia.org/wiki/Self-organizing_map

    A self-organizing map (SOM) or self-organizing feature map (SOFM) is an unsupervised machine learning technique used to produce a low-dimensional (typically two-dimensional) representation of a higher-dimensional data set while preserving the topological structure of the data.

  6. Machine learning: What’s the difference between supervised ...

    www.aol.com/machine-learning-difference-between...

    Machine learning, the subset of artificial intelligence that teaches computers to perform tasks through examples and experience, is a hot area of research and development. Many of the applications ...

  7. Statistical learning theory - Wikipedia

    en.wikipedia.org/wiki/Statistical_learning_theory

    The goals of learning are understanding and prediction. Learning falls into many categories, including supervised learning, unsupervised learning, online learning, and reinforcement learning. From the perspective of statistical learning theory, supervised learning is best understood. [4] Supervised learning involves learning from a training set ...

  8. Self-supervised learning - Wikipedia

    en.wikipedia.org/wiki/Self-supervised_learning

    Self-GenomeNet is an example of self-supervised learning in genomics. [18] Self-supervised learning continues to gain prominence as a new approach across diverse fields. Its ability to leverage unlabeled data effectively opens new possibilities for advancement in machine learning, especially in data-driven application domains.

  9. Category:Unsupervised learning - Wikipedia

    en.wikipedia.org/wiki/Category:Unsupervised_learning

    Pages in category "Unsupervised learning" The following 27 pages are in this category, out of 27 total. This list may not reflect recent changes. ...