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Maschinelle Lernmethoden fr Klassifizierungsprobleme
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Sarah Schnbrodt gibt Einblick in die mathematischen Hintergrnde der Support Vector Machine und einer auf der Singulrwertzerlegung basierenden Klassifizierungsmethode. Die Autorin stellt fest, dass sich hinter beiden Methoden elementar-mathematische und anschauliche Konzepte verbergen, die groteils mit Schulmathematik zugnglich sind. Schlerinnen und Schlern wird aufgrund der groen Anwendungsbreite fr verschiedene lebensnahe Fragestellungen ein verstndlicher Zugang zu Problemlsestrategien des aktuell hchst relevanten maschinellen Lernens gegeben. Perspektiven fr die methodisch-didaktische Gestaltung eines Workshops zur mathematischen Modellierung werden aufgezeigt.
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