336 search results for "hadoop"

In case you missed it: October 2012 Roundup

November 7, 2012
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In case you missed them, here are some articles from October of particular interest to R users. Sponsorships for local R user groups from Revolution Analytics are now open to applicants worldwide. During the landfall of Hurricane Sandy in the US, several R-based apps used public weather and social media data to document its impact, like this timeline of...

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R among TechCrunch’s 5 Trendy Open-Source Techs for Big Data

October 30, 2012
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Tim Gasper (Product Manager at Big Data platform Infochimps) has an informative article at TechCrunch that provides an overview of five open-source technologies trending now for Big Data applications. They are: Storm and Kafka (for processing stream data) Drill and Dremel (for ad-hoc queries of big data) R (for data science with big data) Gremlin and Giraph (for graph...

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Quick notes from Strata NYC 2012

October 24, 2012
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The O'Reilly Strata conferences are always great fun to attend, and this latest installment in New York City is no exception. This one is super-busy though; the conference has been sold out for weeks -- and not just marketing-sold-out, it's fire-department-sold out. It's non-stop conversations and presentations, and it's tough to move through the hallways in between. Nonetheless, I...

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Two Talks on Data Science, Big Data and R

October 23, 2012
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On Thursday next week (November 1), I'll be giving a new webinar on the topic of Big Data, Data Science and R. Titled "The Rise of Data Science in the Age of Big Data Analytics: Why Data Distillation and Machine Learning Aren’t Enough", this is a provocative look at why data scientists cannot be replaced by technology, and why...

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Predict User’s Return Visit within a day part-3

October 22, 2012
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Predict User’s Return Visit within a day part-3

Welcome to the last part of the series on predicting user’s revisit to the website. In the  first part of series, I generated the logistic regression model for prediction problem whether a user will come back on  website in next 24 hours. In the second part, I discussed about model improvement and seen the model accuracy.

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Predict User’s Return Visit within a day part-2

October 22, 2012
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Predict User’s Return Visit within a day part-2

Welcome to the second part of the series on predicting user’s revisit to the website. In my earlier blog Logistic Regression with R, I discussed what is logistic regression. In the first part of the series, we applied logistic regression to available data set. The problem statement there was whether a user will return in

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Predict User’s Return Visit within a day part-1

October 22, 2012
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Predict User’s Return Visit within a day part-1

In my earlier blog, I have discussed about what is logistic regression? And how logistic model is generated in R? Now we will apply that learning on a specific problem of prediction. In this post, I will create a basic model to predict whether a user will return on website in next 24 hours. This

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Logistic Regression with R

October 21, 2012
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Logistic Regression with R

Logistic Regression In my first blog post, I have explained about the what is regression? And how linear regression model is generated in R? In this post, I will explain what is logistic regression? And how the logistic regression model is generated in R? Let’s first understand logistic regression. Logistic regression is one of the

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Vendor news: TIBCO’s proprietary R runtime; Teradata’s appliance integrates R

October 17, 2012
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Vendor news: TIBCO’s proprietary R runtime; Teradata’s appliance integrates R

In a webinar today previewing Spotfire 5 (scheduled for release this November), TIBCO announced that it will include TERR: The Tibco Enterprise Runtime for R. TERR is a closed-source reimplementation of the R language engine, and not based on the GPL-licensed R project from the R Foundation. Here's the relevant slide from the webinar: By making the TERR engine...

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Nine lightning talks on R

October 12, 2012
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At Tuesday's Bay Area R User Group meetup, nine speakers gave five-minute talks on various aspects of R. Revolution Analytics' Luba Gloukhov was one of the presenters, and also provides the summary of the talks below. Links to the slides are included where available for you to check out. Ariel Faigon: Chrestomathy with R Ariel walked us through his...

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