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Bits 'n Pieces on Big Data R&D
Information and insight into Big Data R&D
Curated by onur savas
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RMOA: Massive online data stream classifications with R & MOA

RMOA: Massive online data stream classifications with R & MOA | Bits 'n Pieces on Big Data R&D | Scoop.it

For those of you who don't know MOA. MOA stands for Massive On-line Analysis and is an open-source framework that allows to build and run experiments of machine learning or data mining on evolving data streams. The website of MOA (http://moa.cms.waikato.ac.nz) indicates it contains machine learning algorithms for classification, regression, clustering, outlier detection and recommendation engines.

onur savas's insight:
It is recommended especially for R users who work with a lot of data or encounter RAM issues when building models on large datasets, MOA. It uses a limited amount of memory.
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Analyzing Your Data on the AWS Cloud (with R)

Analyzing Your Data on the AWS Cloud (with R) | Bits 'n Pieces on Big Data R&D | Scoop.it

I have recently had the delight to participate in a “Brain Hackathon” organized as part of the OHBM2013 conference. Being supported by Amazon, the hackathon participants were provided with Amazon credit in order to promote the analysis using Amazon’s Web Services (AWS). We badly needed this computing power, as we had 14*10^9 p-values to compute in order to localize genetic associations in the brain leading to Figure 1.

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Simulating Map-Reduce in R for Big Data Analysis Using Flights Data

Simulating Map-Reduce in R for Big Data Analysis Using Flights Data | Bits 'n Pieces on Big Data R&D | Scoop.it
At datadolph.in, we are constantly crunching through large amounts of data.  We are designing unique and innovative ways to process large datasets on a single node and use distribute...
onur savas's insight:

R for Big Data seems to be getting more support.

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7 command-line tools for data science

7 command-line tools for data science | Bits 'n Pieces on Big Data R&D | Scoop.it
Dutch Data Scientist in Old New Amsterdam
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R documentation search - All R packages and R manuals from CRAN and Bioconductor

R documentation search - All R packages and R manuals from CRAN and Bioconductor | Bits 'n Pieces on Big Data R&D | Scoop.it
Easily search all R documentation!
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Free e-book on Data Science with R

Free e-book on Data Science with R | Bits 'n Pieces on Big Data R&D | Scoop.it
A new book by Jeffrey Stanton from Syracuse Iniversity School of Information Studies, An Introduction to Data Science, is now available for free download.

Via Pierre Levy
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Pierre Levy's curator insight, March 17, 2013 3:13 PM

Throughout the book, you'll find many examples of data science applications implemented in the R language. For R beginners a Getting Started with R chapter is included, but it does get into some fairly in-depth topics including sentiment analysis of Twitter data, working with data in Hadoop via RHadoop, and creating information maps. R code is sprinkled liberally for your own use, and available to download (also under an open-source license) from GitHub.

Carla Gentry CSPO's curator insight, March 18, 2013 9:02 AM

Good for the newbies :)