307 search results for "hadoop"

Myown way to Data Science

October 28, 2013
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Myown way to Data Science

In my last post, I point the Road to data science, imagined by Swami. I think this road is too long and we can't make any difference  between the basics (we have to know) and the advanced(it's important to know, bu if not, it doesn't matter).So I'...

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Introducing Revolution R Enterprise 7

October 28, 2013
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We're very excited to formally announce that Revolution R Enterprise 7 is here! This release includes the latest release of Open Source R (R 3.0.2). It brings R and the massively-parallel R functions from Revolution Analytics to Cloudera and Hortonworks in-Hadoop, and in-database on Teradata. It also brings a new drag-and-drop user interface via integration with Alteryx, and a...

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My experience of learning R – from basic graphs to performance tuning

October 23, 2013
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My experience of learning R – from basic graphs to performance tuning

BackgroundR as some of you may know is a statistical and graphics programming language (see Wikipedia ) used by academia and recently by IT professionals of our ever growing software industry. There is a sudden demand for Data Scientists, Data Analysts and Statisticians with a background in R among other things data and development related subjects.I have...

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Video: Time-to-event models

October 21, 2013
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If you're trying to predict when an event will occur (for example, a consumer buying a product) or trying to infer why events occur (what were the factors that led to a component failing?), time-to-event models are a useful framework. These models are closely related to survival analysis in life sciences, except that the outcome of interest isn't "time...

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The ACM 2013 Mining Big Data Camp and "Un-Conference"

October 17, 2013
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The ACM 2013 Mining Big Data Camp and "Un-Conference"

by Joseph Rickert The 2013 Mining Big Data Camp was held last Saturday at Ebay’s Town Hall Conference Center in San Jose. The San Francisco chapter of the ACM has been sponsoring this data mining themed, “un-conference” event since 2009. Attendance, this year was lighter than I remembered in the past, however, the event continues to be a viable...

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How To Put Your Meetup On the Map (Literally)

October 14, 2013
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How To Put Your Meetup On the Map (Literally)

This is a guest post by Alan Briggs. Alan is a Data Scientist with Elder Research, Inc. assisting with the development of predictive analytic capabilities for national security clients in the Washington, DC Metro area. He is President-Elect of the Maryland … Continue reading → The post How To Put Your Meetup On the Map (Literally) appeared first on...

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In case you missed it: September 2013 Roundup

October 11, 2013
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In case you missed them, here are some articles from September of particular interest to R users: Todd Schneider wrote an algorithm in R to find the "most concave" US state (it's NY), and created an animation to show how it works. Rob Hyndman (of the "forecast" package) describes how R-based forecasting saved the Australian government millions, in a...

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Tomorrow: Webinar on Time-to-Event Models

October 9, 2013
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We're thrilled to have John Wallace and Tess Nesbitt from DataSong join our Fall webinar series tomorrow, with a great presentation on time to event models. If you're trying to predict when an event will occur (for example, a consumer buying a product) or trying to infer why events occur (what were the factors that led to a component...

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R with Big Data on Hortonworks

October 1, 2013
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If you missed last week's webinar with John Kreisa from Hortonworks (hosted by Data Science Central), we described how R fits into the Modern Data Architecture. Not only can you extract and distil data in Hadoop with the open-source RHadoop project, but with the forthcoming release of Revolution R Enterprise 7 you will be able to run the high-performance...

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eoda’s R-academy celebrates its third anniversary and is extending the extensive training program for R

September 30, 2013
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The free statistical programming language R becomes more and more popular, even in German speaking areas. This happens for various reasons. Besides from its performance, its quality and its open source character, R scores with its various possibilities for integration. Beyond that R offers a multitude of possibilities in the field of multivariate analysis methods.

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