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Erschienen in:
2023 | OriginalPaper | Buchkapitel
21. Unsupervised Learning
verfasst von : Rituparna Sen, Sourish Das
Erschienen in: Computational Finance with R
Verlag: Springer Nature Singapore
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Abstract
Unsupervised learning is a class of algorithms; where a machine looks for patterns in a dataset with no labels (or target variables to predict). This is in distinction to supervised learning procedures, such as classification or regression, where a model is given training data of inputs and target variables; and learns to map from the inputs to the target. In unsupervised learning, only the inputs are available, and an algorithm looks for interesting patterns in the data. Unsupervised learning is aka., knowledge discovery.