345 search results for "hadoop"

Introducing R for Big Data with PivotalR

June 4, 2014
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Introducing R for Big Data with PivotalR

Wouldn't it be great if there was a way to harness the familiarity and usability of a tool like R, and at the same time take advantage of the performance and scalability benefits of in-database/in-Hadoop computation? We're happy to announce PivotalR, a package that translates R code into SQL for processing, is available to download from GitHub today.

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R / Finance 2014: Packaged Takeaways

May 29, 2014
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R / Finance 2014: Packaged Takeaways

by Joseph Rickert I was very happy to have been able to attend R / Finance 2014 which wrapped up a couple of weeks ago. In general, the talks were at a very high level of play, some dealing with brand new ideas and many presented at a significant level of technical or mathematical sophistication. Fortunately, most of the...

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Early Bird Registration for the EARL Conference closes tomorrow (Friday 30th May)

May 29, 2014
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Early Bird Registration for the EARL Conference (Effective Applications of the R Language) closes tomorrow, Friday 30th May. The EARL conference will be held in London on the 15-17th September 2014   EARL is the first cross-sector conference dedicated to the business usage of R and features presentations from over 45 R experts and practitioners.  For further information and to purchase early...

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Quick History 2: GLMs, R and large data sets

May 22, 2014
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by Joseph Rickert In last week’s post, I sketched out the history of Generalized Linear Models and their implementations. In this post I’ll attempt to outline how GLM functions evolved in R to handle large data sets. The first function to make it possible to build GLM models with datasets that are too big to fit into memory was...

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Conference agenda for EARL conference (September 15th – 17th)

May 21, 2014
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Mango Solutions are pleased to announce details of the full EARL (Effective Applications of the R Language) Conference agenda. EARL will be held at The Tower Hotel in London on September 15th – 17th and will showcase an impressive list of R experts from a wide range of business sectors; for full agenda details listing the speakers and presentations please visit www.earl-conference.com/Agenda.html...

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Mini-Hackathon in Philadelphia, tonight!

May 14, 2014
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If you're in the Philadelphia area and want to hack on some data with other R users this evening, come to the IntegriChain/Revolution Analytics Meetup at Drexel University. There will be an short lecture to introduce the problem, followed by a hacking session (virtual machines with Revolution R software and data will be provided). And of course, plenty of...

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A bit of the agenda of Practical Data Science with R

May 1, 2014
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A bit of the agenda of Practical Data Science with R

The goal of Zumel/Mount: Practical Data Science with R is to teach, through guided practice, the skills of a data scientist. We define a data scientist as the person who organizes client input, data, infrastructure, statistics, mathematics and machine learning to deploy useful predictive models into production. Our plan to teach is to: Order the Related posts:

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Webinar: Big-Data Trees for R

April 21, 2014
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If you missed last week's webinar presented by Revolution Analytics' US Chief Scientist Mario Inchiosa, Decision Trees built in Hadoop plus more Big Data Analytics with Revolution R Enterprise, the slides and webinar replay are now available for download. The webinar includes a demo of building decision trees and regression trees in Revolution R Enterprise, and using the Tree...

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Diving into H2O

April 17, 2014
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H2O

by Joseph Rickert One of the remarkable features of the R language is its adaptability. Motivated by R’s popularity and helped by R’s expressive power and transparency developers working on other platforms display what looks like inexhaustible creativity in providing seamless interfaces to software that complements R’s strengths. The H2O R package that connects to 0xdata’s H2O software (Apache...

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Oracle’s Strategy for Advanced Analytics

April 15, 2014
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At Oracle our goal is to enable you to get timely insight from all of your data. We continuously enhance Oracle Database to allow workloads that have traditionally required extracting data from the database to run in-place. We do this to narrow the ga...

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