Philosophy Dictionary of Arguments

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 Statistical Learning - Philosophy Dictionary of Arguments
 
Statistical learning: Statistical learning involves using algorithms and models to analyze and make predictions based on data based on the assumption that the data we have is a sample from some larger population. It encompasses techniques like regression, classification, and clustering, utilizing statistical principles to extract meaningful patterns and relationships from datasets. See also Machine Learning, Data, Classification, Prediction, Generalization, Induction, Learning, Artificial Intelligence, Algorithms, Models.
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Annotation: The above characterizations of concepts are neither definitions nor exhausting presentations of problems related to them. Instead, they are intended to give a short introduction to the contributions below. – Lexicon of Arguments.
 
Author Item    More concepts for author
 
Norvig, Peter Statistical Learning   Norvig, Peter

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