Posts Tagged ‘ Rmedia ’

Big Data statistics in the search for a cure for MS

April 26, 2012
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Multiple Sclerosis (MS) is a debilitating and complex disease with an unknown cause — and for which there is currently no cure. The SUNY Buffalo is home to one of the leading multiple sclerosis (MS) research centers in the world, and as reported in Healthcare IT News, the research team is using IBM Netezza and Revolution R Enterprise to...

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R at the Consumer Financial Protection Bureau

April 10, 2012
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The O'Reilly Radar blog has a lengthy and very interesting interview with the lead and deputy CIOs of the Consumer Financial Protection Bureau, the new US government agency devoted to consumer protections in the financial markets. In that interview, they talk about the many open-source tools used in the agency (and the parent Treasury Department): Linux, WordPress, Splunk, Django,...

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R, Twitter and McDonald’s

March 23, 2012
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R, Twitter and McDonald’s

Ed Chen is a data scientist at Twitter, so he's accustomed to working with big data and complex models. In an interview with MIT Technology Review, he describes his data science toolbox: A common pattern for me is that I'll code a MapReduce job in Scala, do some simple command-line munging on the results, pass the data into Python...

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SAP integrates R with HANA

March 15, 2012
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SAP integrates R with HANA

We can add SAP to the list of vendors offering R integration with their products. InformationWeek reports that the new SAP BusinessObjects Predictive Analysis model provides a graphical user interface to R. Created in reaction to "competitive and market forces, including the momentum of open source R", the new module provides in-database processing (presumably by embedding R within HANA...

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Big Data Analytics to Revolutionize Services

March 6, 2012
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Revolution Analytics' CEO Dave Rich was interviewed by Wikibon's David Vellante and SiliconAngle's John Furrier at the Strata 2012 conference last week. Given Dave's background at Accenture Analytics, the conversation naturally turned to impact of predictive analytics and R on business services. (See the video after the jump, below.) Bret Latmore of SiliconANGLE provides highlights of the interview, including...

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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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R in Financial Services Viewpoint newsletter

February 17, 2012
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The Winter 2012 edition of Sybase's Financial Services Viewpoint newsletter includes two articles related to R. The "Industry Insight" article "R is Hot" (written by yours truly) is a one-page summary of the R phenomenon: what it is, how it's used, and how it's revolutionizing data analysis. The "Industry Insight" article by SAP's Melinda Wilson, "R swings the pendulum...

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Revolution Analytics named Startup to Watch in 2012

January 4, 2012
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While we were out over the holiday break, Silicon Angle selected five open-source startups that are commercializing and contributing to open source projects as "Startups to Watch in 2012". Revolution Analytics was #2 on the list: This was a busy year for Revolution. The company released Revolution R 5.0, which included Hadoop integration, allowing users to create map/reduce jobs...

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Forbes: Big Data needs to earn its keep

December 8, 2011
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Dan Woods at Forbes makes a salient point about Big Data: it's not good enough merely to spend a ton of money to collect and store data -- it needs to earn its keep via data analysis: Let’s say you buy a huge Hadoop cluster along with Revolution Analytics, a productization of the R language that has been adapted...

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"Anyone planning to work with Big Data ought to learn Hadoop and R"

October 25, 2011
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Dan Woods at Forbes interviewed LinkedIn's Daniel Tunkelang about the rise of data science and on building data science teams. When asked how students today should prepare themselves to be data scientists, Tunkelang gives some good advice: When we built the data science team at LinkedIn a few years ago, we looked for raw talent, assuming that smart people...

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