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Explainability in machine learning: a pedagogical perspective

IntroductionMachine learning courses usually focus on getting students prepared to apply various models in real-world settings, but much less attention is given to teaching students the various techniques to explain a model's decision-making process. This gap is particularly concerning given the inc...

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Bibliografische Detailangaben
Hauptverfasser: Andreas Bueff, Ioannis Papantonis, Auste Simkute, Vaishak Belle
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2025-07-01
Schriftenreihe:Frontiers in Education
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Online-Zugang:https://www.frontiersin.org/articles/10.3389/feduc.2025.1595209/full
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