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Balise : Éditeur de wikicode 2017 |
| (33 versions intermédiaires par 2 utilisateurs non affichées) |
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| | #REDIRECTION [[ Apprentissage automatique ]] |
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| == Domaine ==
| | [[Catégorie:ENGLISH]] |
| [[Category:Vocabulary]] | |
| [[Category:Apprentissage profond]]
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| == Définition ==
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| == Termes privilégiés ==
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| <poll>
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| Plusieurs termes sont proposés<br /> lequel vous semble le plus juste ?
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| <h3>apprentissage machine</h3>
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| <h3>apprentissage automatique</h3>
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| <h3>apprentissage artificiel </h3>
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| <h3>apprentissage statistique </h3>
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| </poll>
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| <poll>
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| Do you like this poll ?
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| Yes, it is awesome.
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| Yes.
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| No, I do not like polls.
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| </poll>
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| == Anglais ==
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| === Machine learning ===
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| Machine learning is a field of computer science that gives computer systems the ability to "learn" (i.e. progressively improve performance on a specific task) with data, without being explicitly programmed.[1]
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| The name Machine learning was coined in 1959 by Arthur Samuel.[2] Evolved from the study of pattern recognition and computational learning theory in artificial intelligence,[3] machine learning explores the study and construction of algorithms that can learn from and make predictions on data[4] – such algorithms overcome following strictly static program instructions by making data-driven predictions or decisions,[5]:2 through building a model from sample inputs. Machine learning is employed in a range of computing tasks where designing and programming explicit algorithms with good performance is difficult or infeasible; example applications include email filtering, detection of network intruders or malicious insiders working towards a data breach,[6] optical character recognition (OCR),[7] learning to rank, and computer vision.
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