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While R's base graphics library is almost limitlessly flexible when it comes to create static graphics and data visualizations, new Web-based technolo 阅读全文
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Reinforcement learning has gained considerable traction as it mines real experiences with the help of trial-and-error learning to model decision-makin 阅读全文
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factoextra is an R package making easy to extract and visualize the output of exploratory multivariate data analyses, including: Principal Component A 阅读全文
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Intro In an earlier post I talked about Spark and sparklyR and did some experiments. At my work here at RTL Nederland we have a Spark cluster on Amazo 阅读全文
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In two previous blog posts I discussed some techniques for visualizing relationships involving two or three variables and a large number of cases. In 阅读全文
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Introduction Deep learning is a recent trend in machine learning that models highly non-linear representations of data. In the past years, deep learni 阅读全文
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@drsimonj here to show you how to use xgboost (extreme gradient boosting) models in pipelearner. Why a post on xgboost and pipelearner? xgboost is one 阅读全文
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I had started a “52 Vis” initiative back in 2016 to encourage folks to get practice making visualizations since that’s the only way to get better at v 阅读全文
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There is a plethora of classification algorithms available to people who have a bit of coding experience and a set of data. A common machine learning 阅读全文
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Previously in this series: The beta distribution Empirical Bayes estimation Credible intervals The Bayesian approach to false discovery rates Bayesian 阅读全文