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Machine Learning for the Educational Sciences

Hilbert, Sven ; Coors, Stefan ; Kraus, Elisabeth ; Frei, Mario ; Lindl, Alfred ; Wild, Johannes ; Krauss, Stefan ; Goretzko, David ; Bischl, Bernd ; Stachl, Clemens



Abstract

Machine learning (ML) provides a powerful framework for the analysis of high-dimensional datasets by modelling complex relationships, often encountered in modern data with many variables, cases and potentially non-linear effects. The impact of ML methods on research and practical applications in the educational sciences is still limited, but continuously grows, as larger and more complex datasets ...

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