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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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樓主: Monomania
41#
發(fā)表于 2025-3-28 16:09:51 | 只看該作者
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
42#
發(fā)表于 2025-3-28 20:13:13 | 只看該作者
43#
發(fā)表于 2025-3-29 02:00:31 | 只看該作者
44#
發(fā)表于 2025-3-29 03:28:04 | 只看該作者
45#
發(fā)表于 2025-3-29 09:28:09 | 只看該作者
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
46#
發(fā)表于 2025-3-29 14:08:06 | 只看該作者
47#
發(fā)表于 2025-3-29 18:52:44 | 只看該作者
48#
發(fā)表于 2025-3-29 19:48:06 | 只看該作者
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.
49#
發(fā)表于 2025-3-30 01:38:31 | 只看該作者
50#
發(fā)表于 2025-3-30 05:05:03 | 只看該作者
Methodology of Educational Measurement and Assessmenthttp://image.papertrans.cn/c/image/232928.jpg
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