文章分类 - R
R语言技术学习交流
摘要：An update to Microsoft R Client, Microsoft's distribution of open source R with additional proprietary packages — including RevoScaleR (for data analy
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摘要：In this 4th post of my series on Deep Learning from first principles in Python, R and Octave – Part 4, I explore the details of creating a multi-class
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摘要：Just In Time For Baseball The mlbgameday package has just reached the milestone of version 0.1.0. Designed to facilitate extract, transform and load f
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摘要：If you've ever wanted to play around with big data sets in a Spark cluster from R with thesparklyr package, but haven't gotten started because setting
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摘要：Previously we’ve covered the basics of exogenous variables in smooth functions. Today we will go slightly crazy and discuss automatic variables select
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摘要：In this blog post, I am going to train a random forest on census data from the US to predict the probability that someone is looking for a job. To thi
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摘要：In order to stay up to date, I try to follow Jeremy Howard on a regular basis. In one of his recent videos, he shows how to use embeddings for categor
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摘要：BNOSAC is happy to announce the release of the udpipe R package (https://bnosac.github.io/udpipe/en) which is a Natural Language Processing toolkit th
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摘要：“What does the world outside your head really ‘look’ like? Not only is there no color, there’s also no sound: the compression and expansion of air is
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摘要：In a number of upcoming posts, I'll be analyzing an interesting dataset I found on Kaggle. The dataset contains information on 18,393 music reviews fr
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摘要：Introduction Market Basket Analysis or association rules mining can be a very useful technique to gain insights in transactional data sets, and it can
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摘要：Which layout of an advertisement leads to more clicks? Would a different color or position of the purchase button lead to a higher conversion rate? Do
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摘要：I developed a tiny toy package, meme, which is now on CRAN. As it’s name indicated, it was designed to create memes, which are captioned photos that a
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摘要：R is an incredible tool for reproducible research. In the present series of blog posts I want to show how one can easily acquire data within an R sess
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摘要：At a glance: I explore half a million rows of disaggregated crash data for New Zealand, and along the way illustrate geo-spatial projections, maps, fo
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摘要：One of the assumptions of Classical Linear Regression Model is that there is no exact collinearity between the explanatory variables. If the explanato
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摘要：This post explains how to use R to automatically write and send emails based on automatically computed analyses (yep, everything automated). This mean
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摘要：In the last post, we focused on the preparation of a tidy dataset describing consumer perceptions of beverages. In this post, I'll describe some analy
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摘要：I have been playing around with spatial modelling in the R INLA package. This blog just records a few thoughts I have had about using INLA for kriging
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摘要：1、背景 CTR预估，广告点击率（Click-Through Rate Prediction）是互联网计算广告中的关键环节，预估准确性直接影响公司广告收入。CTR预估中用的最多的模型是LR（Logistic Regression）[1]，LR是广义线性模型，与传统线性模型相比，LR使用了Logit变
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