804 search results for "parallel"

Big-data Naive Bayes and Classification Trees with R and Netezza

March 8, 2012
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The IBM Netezza analytics appliances combine high-capacity storage for Big Data with a massively-parallel processing platform for high-performance computing. With the addition of Revolution R Enterprise for IBM Netezza, you can use the power of the R language to build predictive models on Big Data. In the demonstration below, Revolution Analytics' Derek Norton analyzes loan approval data stored on...

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Montreal R workshop: Plyr, reshape and other data manipulation goodies

March 8, 2012
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Montreal R workshop: Plyr, reshape and other data manipulation goodies

March 12, 2012 14h-16h N4/17 Stewart Biology Building, McGill University Étienne Low-Decarie, McGill University This workshop is organized by the BGSA and is free of charge (!), but space is limited. Register early to ensure your spot! From Étienne: Ever want to split your data according to factors, apply a function on each part and

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lembarrasduchoix asked: thank you for the introduction to…

March 6, 2012
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lembarrasduchoix asked:
thank you for the introduction to…

lembarrasduchoix asked: thank you for the introduction to Newcomb’s paradox! Could you do a post on your favorite paradoxes?    The decision theory paradoxes I’m familiar with are: Ellsberg Paradox— Theorists encode bothsituations with unknown...

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doSMP pulled

March 1, 2012
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doSMP pulled

They have finally pulled that buggy unreliable piece of code that was doSMP from the CRAN mirrors while (I hear) Revolutions are re-writing it. To use all your cores for analysis on the Windows platform, you can try doSNOW instead; my code is something like the fragment...

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doSMP pulled

March 1, 2012
By
doSMP pulled

They have finally pulled that buggy unreliable piece of code that was doSMP from the CRAN mirrors while (I hear) Revolutions are re-writing it. To use all your cores for analysis on the Windows platform, you can try doSNOW instead; my code is something like the fragment below. Neither option is as attractive...

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Custom Amazon EC2 config for Rstudio

February 29, 2012
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IntroductionThis post is a work in progress building on the previous post. It's my attempt to simultaneously learn Amazon's AWS tools and set up R and Rstudio Server on a customized "cloud" instance. I look forward to testing some R jobs that have la...

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Webinar tomorrow: Big-data statistics with Revolution R with IBM Netezza

February 28, 2012
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As explained in detail by Michele Chambers at the IBM Netezza blog, there are two keys to getting fast performance with statistical analysis on massive data sets with R: Massive parallelization: break the problem down into small pieces, and run them in parallel Bring the R engine to the data (not the other way around), to avoid data transfer...

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R integrated throughout the enterprise analytics stack

February 27, 2012
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The past couple of years have seen a dramatic growth in the use of the R language in the enterprise. R has always been pervasive in academia for research and teaching in statistics and data science, and as new graduates trained in R have migrated to the workplace the demand for R in corporations has become more and more...

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Revolution Analytics at Strata 2012

February 27, 2012
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One of my favourite conferences, Strata: Making Data Work, starts tomorrow in Santa Clara, CA. Revolution Analytics is a proud sponsor, and I'll be there with the team to listen to some great talks and to meet other R users at our booth in the exhibition hall. There will be several R-related talks and tutorials during the conference, including...

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Large-scale Inference

February 23, 2012
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Large-scale Inference

Large-scale Inference by Brad Efron is the first IMS Monograph in this new series, coordinated by David Cox and published by Cambridge University Press. Since I read this book immediately after Cox’ and Donnelly’s Principles of Applied Statistics, I was thinking of drawing a parallel between the two books. However, while none of them can

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