About: Outline of machine learning

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The following outline is provided as an overview of and topical guide to machine learning. Machine learning is a subfield of soft computing within computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence. In 1959, Arthur Samuel defined machine learning as a "field of study that gives computers the ability to learn without being explicitly programmed". Machine learning explores the study and construction of algorithms that can learn from and make predictions on data. Such algorithms operate by building a model from an example training set of input observations in order to make data-driven predictions or decisions expressed as outputs, rather than following strictly static program instructions.

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  • هناك عدة طرق تستخدم في تعليم الآلة. في هذا المقال نستعرض بعضا منها. ملاحظه أن بعض الصور المستخدمة لا تتبع حقوق الطبع والنشر ونحن نعتذر لذلك ولكن استخدمت لغرض المعرفة العلمية. (ar)
  • The following outline is provided as an overview of and topical guide to machine learning. Machine learning is a subfield of soft computing within computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence. In 1959, Arthur Samuel defined machine learning as a "field of study that gives computers the ability to learn without being explicitly programmed". Machine learning explores the study and construction of algorithms that can learn from and make predictions on data. Such algorithms operate by building a model from an example training set of input observations in order to make data-driven predictions or decisions expressed as outputs, rather than following strictly static program instructions. (en)
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  • هناك عدة طرق تستخدم في تعليم الآلة. في هذا المقال نستعرض بعضا منها. ملاحظه أن بعض الصور المستخدمة لا تتبع حقوق الطبع والنشر ونحن نعتذر لذلك ولكن استخدمت لغرض المعرفة العلمية. (ar)
  • The following outline is provided as an overview of and topical guide to machine learning. Machine learning is a subfield of soft computing within computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence. In 1959, Arthur Samuel defined machine learning as a "field of study that gives computers the ability to learn without being explicitly programmed". Machine learning explores the study and construction of algorithms that can learn from and make predictions on data. Such algorithms operate by building a model from an example training set of input observations in order to make data-driven predictions or decisions expressed as outputs, rather than following strictly static program instructions. (en)
rdfs:label
  • خوارزميات تعلم الآلة (ar)
  • 기계 학습 알고리즘 목록 (ko)
  • Outline of machine learning (en)
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