336 search results for "hadoop"

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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Some R Resources for GLMs

April 3, 2014
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Some R Resources for GLMs

by Joseph Rickert Generalized Linear Models have become part of the fabric of modern statistics, and logistic regression, at least, is a “go to” tool for data scientists building classification applications. The ready availability of good GLM software and the interpretability of the results logistic regression makes it a good baseline classifier. Moreover, Paul Komarek argues that, with a...

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R Training for SAS users in Singapore and online

March 28, 2014
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Revolution Analytics has just introduced a 10-module series of R courses in Singapore. If you'd like to learn how to do data analysis in R, already know data analysis in another language like SAS and want to transition to R, or just want to enhance your R skills in a specific area, one of these hands-on courses may be...

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Free eBook on Big Data and Data Science

March 24, 2014
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The fine folks behind the Big Data Journal have just published a new e-book Big Data: Harnessing the Power of Big Data Through Education and Data-Driven Decision Making. (Note: Adobe Flash is required to view the e-book.) In the eBook, you'll find the following technical papers on the topics of Big Data, Data Science, and R: Data Science and...

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Call for Presentations – EARL Conference, London

March 3, 2014
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The EARL (Effective Applications of the R Language) Conference takes place in London on the 16th and 17th September 2014. It will provide an opportunity for those using and developing the open source statistical programming language R to share and discuss their innovative practices of the R Language. The Conference will create opportunities for: • The post

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Foundations of Statistical Algorithms [book review]

February 27, 2014
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Foundations of Statistical Algorithms [book review]

There is computational statistics and there is statistical computing. And then there is statistical algorithmic. Not the same thing, by far. This 2014 book by Weihs, Mersman and Ligges, from TU Dortmund, the later being also a member of the R Core team, stands at one end of this wide spectrum of techniques required by

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R and (Software) Relatives

February 18, 2014
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R and (Software) Relatives

Post also available with code executed inline at rpubs.com. O'Reilly recently published the results of a survey from attendees of the Strata Conference related to tool usage and salary.  The entire survey is available for download.  In the survey results, R was heralded as second only to SQL as a tool used by conference attendees.  An chart from the...

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There is no Such Thing as Biomedical "Big Data"

February 11, 2014
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There is no Such Thing as Biomedical "Big Data"

At the moment, the world is obsessed with “Big Data” yet it sometimes seems that people who use this phrase don’t have a good grasp of its meaning.  Like most good buzz-words, “Big Data” sparks the idea of something grand and complicated, while sounding ordinary enough that listeners feel like they have an intuitive understanding of the concept.  However...

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Revolution Analytics announces $999 site licenses for universities and public service organizations

February 4, 2014
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by Joseph Rickert Revolution Analytics is announcing three new programs today that we hope will be modest but positive contributions to data science education and public service analytics. The first new program, the Academic Institution Program (AIP) enables colleges, universities and other educational institutions to obtain a site license for Revolution Analytics' commercial distribution of the R Language, Revolution...

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Book review: "Doing Data Science" by Rachel Schutt and Cathy O’Neil

January 23, 2014
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by Joseph Rickert Every once in a while a single book comes to crystallize a new discipline. If books still have this power in the era of electronic media, "Doing Data Science, Straight Talk from the Frontline" by Rachel Schutt and Cathy O’Neil: O'Reilly, 2013 might just be the book that defines data science. "Doing Data Science", which is...

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