2221 search results for "regression"

Some R Highlights from H20 World

November 28, 2014
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Some R Highlights from H20 World

by Joseph Rickert H2O.ai held its first H2O World conference over two days at the Computer History Museum in Mountain View, CA. Although the main purpose of the conference was to promote the company's rich set of Java based machne learning algorithms and announce their new products Flow and Play there were quite a few sessions devoted to R...

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R, an Integrated Statistical Programming Environment and GIS

November 27, 2014
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R, an Integrated Statistical Programming Environment and GIS

This article was originally published in Geoinformatics magazine. R is well known as a powerful, extensible and relatively fast statistical programming language and open software project with a command line interface (CLI). What is less well known is that R also has cutting edge spatial packages that allow it to behave as a fully featured Geographical Information System...

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R and Data Mining Workshop at AusDM 2014, Brisbane, 27 November

November 24, 2014
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R and Data Mining Workshop at AusDM 2014, Brisbane, 27 November

R and Data Mining Workshop at AusDM 2014 http://ausdm14.ausdm.org/workshop There will be a half-day workshop on R and Data Mining at the AusDM 2014 conference in Brisbane, Thursday afternoon, 27 November. The workshop will be composed of several sessions on … Continue reading →

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Free Stanford online course on Statistical Learning (with R) starting on 19 Jan 2015

November 21, 2014
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Free Stanford online course on Statistical Learning (with R) starting on 19 Jan 2015

This is an introductory-level course in supervised learning, with a focus on regression and classification methods. The syllabus includes: linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and … Continue reading →

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Partying R Style with Sqor Sports, R on Azure, and data.table

November 20, 2014
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Partying R Style with Sqor Sports, R on Azure, and data.table

by Joseph Rickert We usually have a pretty good time at the monthly Bay Area useR Group (BARUG) meetings, but this month's meeting was a bit more of a party than usual. The very well connected PR team at Sqor Sports, our host company for the evening, secured San Francisco's tres trendy 111 Minna Gallery for the venue. There...

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Reinterpreting Lee-Carter Mortality Model

November 18, 2014
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Reinterpreting Lee-Carter Mortality Model

Last week, while I was giving my crash course on R for insurance, we’ve been discussing possible extensions of Lee & Carter (1992) model. If we look at the seminal paper, the model is defined as follows Hence, it means that This would be a (non)linear model on the logarithm of the mortality rate. A non-equivalent, but alternative expression...

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Introduction to Revolution R Enterprise For Big Data Analytics on datacamp.com

November 18, 2014
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by Jeremy Reynolds Senior R Trainer, Revolution Analytics Last week, Revolution Analytics released its first massive open, online course through a partnership with datacamp.com: Introduction to Revolution R Enterprise for Big Data Analytics. You can sign up for the free course here. This course provides a look at some of the tools provided by the RevoScaleR package that ships...

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What size will you be after you lose weight?

November 14, 2014
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What size will you be after you lose weight?

REDDITORS’ BEFORE AND AFTER MEASUREMENTS ANALYZED Click to enlarge How many pounds do you need to lose in order to reduce your waistline by one inch? How many kilos do you need to lose to reduce your waistline by one centimeter? We wanted to find out. We were having trouble finding published data (though we The post

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Solutions on github

November 12, 2014
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See this page. We're not done with them all but chapter 3 and 4 are there and the regression chapters are not too far behind. The Rnw files (using knitr LaTeX) are there along with the corresponding pdf files. You may have better solutions than ...

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Basic mapping and attribute joins in R

November 9, 2014
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Basic mapping and attribute joins in R

This post is based on the free and open source Creating-maps-in-R teaching resource for introducing R as a command-line GIS. R is well known as an language ideally suited for data processing, statistics and modelling. R has a number of spatial packages, allowing analyses that would require hundreds of lines of code in other languages to be implemented with...

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