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Machine Learning: Eine Annäherung Für Geistes- Und Sozialwissenschaften

Machine Learning: Eine Annäherung Für Geistes- Und Sozialwissenschaften

          
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About the Book

Maschinelles Lernen (ML) bietet einen Rahmen für die Analyse hochdimensionaler Datensätze durch Modellierung komplexer, oft non-linearer Beziehungen. Der Einfluss von ML-Methoden auf die Forschung und praktische Anwendungen in den Sozial- und Bildungswissenschaften ist immer noch begrenzt, wächst jedoch rapide und kontinuierlich. Algorithmen, die im Rahmen von ML eingesetzt werden sind vielfältig bezüglich ihrer mathematischen Ansätze und ihres Einsatzgebiets. Dieses Buch gibt einen Überblick der gängigen Verfahren, insbesondere ihrer Philosophie, Funktionsweisen und Anwendung. Sowohl die Nutzung klassischer linearer Regressionsmodelle im ML-Framework als auch Baum-basierte und regularisierte Regressionsverfahren werden einzeln behandelt und in das Gesamtbild der Analyse mit ML eingeordnet. Methodisch werden Verbindungen zu und Gemeinsamkeiten mit inferenzstatistischen Ansätzen beleuchtet. Hierbei wird besonders die verschiedenen philosophischen Perspektiven, (geschachtelte) Resampling Verfahren und das Zusammenspiel von Bias und Varianz. Ein weiterer Schwerpunkt liegt auf der praktischen Anwendung von ML auf konkrete Fragestellung empirischer Sozialwissenschaften, welche auch die notwenigen Voraussetzungen der Datenstrukturen und Preprocessing von Datensätzen beinhaltet. Das Buch soll Wissenschaftlern und Praktikern helfen, sich mit den Chancen und Herausforderung immer größerer und komplexerer digitaler Datensätze vertraut zu machen. Hierbei wird auf mathematischer wie auf inhaltlicher Ebene ein Verständnis der grundlegenden Funktionsweisen mit Detailwissen in einzelnen Bereichen verbunden.



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Product Details
  • ISBN-13: 9783658436483
  • Publisher: Springer Fachmedien Wiesbaden
  • Publisher Imprint: Springer vs
  • Language: German
  • Sub Title: Eine Annäherung Für Geistes- Und Sozialwissenschaften
  • ISBN-10: 3658436484
  • Publisher Date: 10 Jun 2024
  • Binding: Paperback
  • Returnable: Y


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