04 2018 档案

Update: Can we predict flu outcome with Machine Learning in R?
摘要：Since I migrated my blog from Github Pages to blogdown and Netlify, I wanted to start migrating (most of) my old posts too - and use that opportunity 阅读全文
posted @ 2018-04-24 17:40 payton数据之旅 阅读(245) 评论(0) 推荐(0)
TIME SERIES DEEP LEARNING: FORECASTING SUNSPOTS WITH KERAS STATEFUL LSTM IN R
摘要：Time series prediction (forecasting) has experienced dramatic improvements in predictive accuracy as a result of the data science machine learning and 阅读全文
posted @ 2018-04-19 10:32 payton数据之旅 阅读(789) 评论(0) 推荐(0)
Imputing missing values in parallel using {furrr}
摘要：Today I saw this tweet on my timeline: For those of us that just can't wait until RStudio officially supports parallel purrr in #rstats, boy have I go 阅读全文
posted @ 2018-04-16 13:18 payton数据之旅 阅读(289) 评论(0) 推荐(0)
Camera360 陈思多：Growth Hacking 重点在 Growth ,而不是 Hacking
摘要：本文作者： 陈思多，Camera360 大数据与增长业务 VP 。本文根据 TGO 鲲鹏会成都分会活动演讲整理，原文来自公众号“ TGO鲲鹏会”，授权转载。 大家好，我是 Camera360 大数据与增长业务 VP 陈思多。Camera360 是由成都品果科技出品的一款基于 iOS 、Windows 阅读全文
posted @ 2018-04-12 13:04 payton数据之旅 阅读(222) 评论(0) 推荐(0)
LightGBM调参指南(带贝叶斯优化代码)
摘要：LightGBM参数列表 建议大家在使用LightGBM前，先仔细阅读参数介绍，毕竟LightGBM还能实现很多有趣的算法如随机森林，dart以及goss，以及众多使用辅助功能。 参数介绍传送门如下： https://github.com/Microsoft/LightGBM/blob/master 阅读全文
posted @ 2018-04-11 14:57 payton数据之旅 阅读(1544) 评论(0) 推荐(0)
How to use dplyr's mutate in R without a vectorized function
摘要：TL;DR: Use the Vectorize() function! If you’re reading this, you’ve either encountered this problem before, or you just got to this article out of cur 阅读全文
posted @ 2018-04-10 09:56 payton数据之旅 阅读(158) 评论(0) 推荐(0)
R: dplyr/sparklyr vs data.table Performance
摘要：In their 2017 book “R for Data Science“, Grolemund and Wickham state that data.table is recommended instead of dplyr when working with larger datasets 阅读全文
posted @ 2018-04-09 11:58 payton数据之旅 阅读(478) 评论(0) 推荐(0)
Deaths per firearm violence event
摘要：At a glance: A negative binomial model isn't adequate for modelling the number of people killed per firearm incident in the USA; the real data has mor 阅读全文
posted @ 2018-04-02 17:36 payton数据之旅 阅读(161) 评论(0) 推荐(0)