Titlebook: Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessme; With Examples in R a Alina A. von Dav

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Support Networks in a Caring Communityapter, we focus on an important branch of machine learning, supervised machine learning, and introduce three widely used supervised learning methods, the Support Vector Machine, Random forest, and Gradient Boosting Machine. Python codes examples are included to show how to use these methods in pract

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Basic Statistical Analysis of SVMs,urrent and future assessment. In: Lissitz R (eds) Computers and their impact on state assessment: recent history and predictions for the future. Information Age Publishing, Charlotte, pp 273–306, 2012; Mislevy RJ, Oranje A, Bauer MI, Von Davier A, Hao J, Corrigan S, . . . John M, Psychometric consid

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puzzle

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Supervised Machine Learningapter, we focus on an important branch of machine learning, supervised machine learning, and introduce three widely used supervised learning methods, the Support Vector Machine, Random forest, and Gradient Boosting Machine. Python codes examples are included to show how to use these methods in practice.

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Methodology of Educational Measurement and Assessmenthttp://image.papertrans.cn/c/image/232928.jpg