337 search results for "hadoop"

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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Working with intraday data

September 24, 2013
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When working with intraday data, analysts are often facing a large dataset problem. R is well equipped to deal with this but the standard approach has to be modified in some ways. Large dataset means different things to different people. I’m talking here about a dataset of less than 10 columns and 2 to 5

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Big Data Bytes: How Open Source is Changing Business

September 23, 2013
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Big Data Bytes: How Open Source is Changing Business

I had a fun time on Friday in a Google Hangout chat with David Pittman (IBM), Eric Kavanagh (Bloor Group) and Tom Deutsch (IBM), where we talked about how open source is changing business. The conversation covered several open source projects including R and Hadoop, and ranged from the impact of open source on total cost of ownership, finding...

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Revolution Newsletter: September 2013

September 17, 2013
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The most recent edition of the Revolution Newsletter is now available. In case you missed it, the news section is below, and you can read the full September edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Rrrr, Mateys! September 19th is International Talk Like...

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In case you missed it: August 2013 Roundup

September 11, 2013
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In case you missed them, here are some articles from August of particular interest to R users: A tutorial on parallel programming with the foreach, doMC and doSNOW packages. Joe Rickert reviews R's capabilities for linear algebra, sparse matrices and big matrices. How R is disrupting the insurance industry with big data. Revolution Analytics has teamed with Cloudera to...

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