343 search results for "hadoop"

Understanding the data analytics project life cycle

December 12, 2013
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Understanding the data analytics project life cycle

While dealing with the data analytics projects, there are some fixed tasks that should be followed to get the expected output. So here we are going to build a data analytics project cycle, which will be a set of standard data-driven processes to lead data to insights effectively. The defined data analytics processes of a The post Understanding...

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Thursday: Scalable Cross-Platform R-Based Predictive Analytics

December 11, 2013
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Tomorrow at 11AM Pacific Time, Revolution Analytics' Chief Scientist Mario Inchiosa will present a live webinar on Scalable Cross-Platform R-Based Predictive Analytics. Here's the abstract: In this webinar we will take a quick tour through an end-to-end predictive analytics session. We will start by exploring our data with summaries and histograms. Using the knowledge gleaned from data exploration, we...

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In case you missed it: November 2013 Roundup

December 10, 2013
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In case you missed them, here are some articles from October of particular interest to R users: A recap of the Strata Hadoop World conference, including presentations from Monsanto and eHarmony on their use of R. How to rank and chart the most frequent hashtags of Twitter users with R. A replay of the What’s new in Revolution R...

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14 Analytics Predictions for 2014

December 3, 2013
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In a live webinar today hosted by Alteryx, five industry experts shared 14 analytics predictions for 2014. The panel included Paul Ross (Alteryx), Charles Zedlewski (Cloudera), Rick Schultz (Alteryx), Ellie Fields (Tableau) and Michele Chambers (Revolution Analytics). Their predictions were: Analysts will matter more than data scientists R will replace legacy SAS solutions and go mainstream Big Data will...

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Preview of book Data Mining Applications with R

December 3, 2013
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Preview of book Data Mining Applications with R

An edited book titled Data Mining Applications with R will be on market soon, which features 15 real-word applications on data mining with R. A preview of the book is available on Google Books. R code, data and color figures … Continue reading →

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Five ways to handle Big Data in R

November 27, 2013
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Five ways to handle Big Data in R

Big data was one of the biggest topics on this year’s useR conference in Albacete and it is definitely one of today’s hottest buzzwords. But what defines “Big Data”? And on the practical side: How can big data be tackled in R? What data is big? Hadley Wickham, one of the best known R developers,

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The rise of R as the language of analytics

November 22, 2013
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It's no coincidence that while the usage of the R language is skyrocketing (as shown in the recent Rexer Analytics and KDNuggets polls), the growth in data scientist jobs is also skyrocketing. R is the lingua franca of data science, and as the pervasive statistical software in the academic sector, there's a steady-stream of newly-minted graduates trained in R,...

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In case you missed it: October 2013 Roundup

November 11, 2013
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In case you missed them, here are some articles from October of particular interest to R users: Joe Rickert recounts the R presence at the Strata + Hadoop World conference, including slides from the R and Hadoop tutorial. Hadley Wickham's favorite tools, gadgets and software (including of course R). Revolution R Enterprise 7 is announced, with updated R engine...

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R jobs (September, October 2013)

November 5, 2013
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R_jobs

R-bloggers is offering an “R jobs” post, that will be published once every month (or other month). If you are interested in offering a job to be posted on r-bloggers, please e-mail me at: [email protected] (please write in the subject line the text “R job” so I could have easy e-mail filtering on it ). statistics. com Occasional part-time...

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Dream Team – combining Tableau and R

November 3, 2013
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Dream Team – combining Tableau and R

Last quarter was a bit too busy to write some new blog post because of a new job. And changing the job often come along with changing the tools you work with. That was my way to Tableau. Tableau is one of the new stars in the BI/Analytics world and definitely worth a look. The people at Tableau...

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