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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The Social Services as “Network Organizers”polis-Hastings and the Gibbs sampler. A Metropolis-Hastings algorithm developed by Marsman et al. (Sci Rep 5:9050, 1–7, 2015) will be used to illustrate how MCMC can be done for a wide range of models in computational statistics.

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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 practice.