345 search results for "hadoop"

Massive online data stream mining with R

Massive online data stream mining with R

A few weeks ago, the stream package has been released on CRAN. It allows to do real time analytics on data streams. This can be very usefull if you are working with large datasets which are already hard to put in RAM completely, let alone to build some statistical model on it without getting into RAM problems. Most of...

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Revolution Newsletter: March 2013

March 25, 2013
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The most recent edition of the Revolution Newsletter is out. The news section is below, and you can read the full March edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Get Results Fast with our Quick Start Programs: Need help getting value from predictive...

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Data Science Education gets personal

March 14, 2013
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by Joseph B. Rickert It is difficult to imagine that there is anyone on the planet with an internet connection and a desire to learn something new who has not at least looked into taking a massive open online course (MOOC). Last Fall, in an 11/4/12 article, the New York Time declared the Year of the MOOC and quoted...

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In case you missed it: February 2013 Roundup

March 13, 2013
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In case you missed them, here are some articles from February of particular interest to R users. How to resample from a large data set with RHadoop, and a video introduction to the RHadoop packages. A 90-second video explains: What is Revolution R Enterprise? Jeffrey Stanton has published a free e-book "An Introduction to Data Science" using R. I...

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Revolution Analytics News Roundup

March 4, 2013
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Between the Strata conference and various announcements, last week was certainly a busy one for the crew here at Revolution Analytics. So I thought I'd take the opportunity to catch you up on some of the recent media articles you might have missed: The Wall Street Journal interviewed our new VP of Services Neera Talbert on the trend towards...

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Summary of My First Trip to Strata #strataconf

February 28, 2013
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Summary of My First Trip to Strata #strataconf

In this post I am goIing to summarize some of the things that I learned at Strata Santa Clara 2013. For now, I will only discuss the conference sessions as I have a much longer post about the tutorial sessions that I am still working on and will post at a later date. I will add to this post...

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Revolution Newsletter: February 2013

February 25, 2013
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The most recent edition of the Revolution Newsletter is out. The news section is below, and you can read the full February edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Case study: Real-Time Marketing Analytics. Online advertising technology company Exelate uses predictive models to...

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Free e-book on Data Science with R

February 22, 2013
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Free e-book on Data Science with R

A new book by Jeffrey Stanton from Syracuse Iniversity School of Information Studies, An Introduction to Data Science, is now available for free download. The book, developed for Syracuse's Certificate for Data Science, is available under a Creative Commons License as a PDF (20Mb) or as an interactive eBook from iTunes. The book begins with the following clear definition...

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Video: IBM Opinionated Infrastructure Hangout

February 22, 2013
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Had a great time earlier this week on a Google Hangout as part of the IBM Opinionated Infrastructure series. Moderator James Governor (analyst from RedMonk) kept the conversation lively, with topics ranging from to the value of information to the benefits of predictive analytics and evolution of Hadoop. R gets a mention at several points in the conversation, which...

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R in the news: Interviews with Revolution Analytics execs

February 22, 2013
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Here are three recent news articles that feature interviews with members of the Revolution Analytics team talking about the importance of the R language: In Forbes, CEO Dave Rich talks to Gil Press about the business landscape for Big Data. In the article, Dave says: SAS and SPSS remind me of Cobol and Fortran circa 1995. The scientific and...

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