02 2017 档案

摘要: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
posted @ 2017-02-27 15:32 payton数据之旅 阅读(289) 评论(0) 推荐(0) 编辑
摘要: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
posted @ 2017-02-20 11:29 payton数据之旅 阅读(2240) 评论(0) 推荐(0) 编辑
摘要: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
posted @ 2017-02-16 14:24 payton数据之旅 阅读(258) 评论(0) 推荐(0) 编辑
摘要: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
posted @ 2017-02-08 15:46 payton数据之旅 阅读(313) 评论(0) 推荐(0) 编辑
摘要: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
posted @ 2017-02-08 15:45 payton数据之旅 阅读(992) 评论(0) 推荐(0) 编辑
摘要:@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
posted @ 2017-02-07 17:23 payton数据之旅 阅读(272) 评论(0) 推荐(0) 编辑

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