Publications by David Smith
Tomorrow: R+Hadoop Webinar with Cloudera and Revolution Analytics
If you haven't already registered, don't miss tomorrow's webinar presented by Cloudera's Director of Product Strategy, Jairam Ranganathan and Michele Chambers, Chief Strategy Officer at Revolution Analytics. This will be a great opportunity to learn how R and CDH (Cloudera's Hadoop distribution) work together with the forthcoming Revolution R E...
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Tableau adds integration with R
Tableau, the popular interactive data visualization tool, is coming out with a new 8.1 update, and it will include integration with the R language. Access to R is a feature that has been requested by Tableau users for some time, and was met with rapturous applause when it was announced at the recent Tableau customer conference. When released, Tab...
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Tomorrow: Webinar on Time-to-Event Models
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 failing?), t...
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In case you missed it: September 2013 Roundup
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 m...
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Ask bigger questions with Revolution R Enterprise and Cloudera Hadoop
If you missed last week's webinar R+Hadoop – Ask Bigger (and New) Questions and Get Better, Faster Answers, the slides and replay are now available for download at that link. I've also embedded the replay video below, where you can hear Michele Chambers (Revolution Analytics) and Jairam Ranganathan (Cloudera) discuss the second generation of ...
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Alteryx integrates with Revolution R Enterprise
You already know that R is an amazingly powerful language for data analysis, but what if you're not a programmer? Or, what if you want to make the data manipulations, visualizations or statistical models you've developed in R available to business analysts, marketers, managers or other non-programming types? That's why Revolution Analytics has te...
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R usage skyrocketing: Rexer poll
Rexer Analytics has been conducting regular polls of data miners and analytics professionals on their software choices since 2007, and the results of the 2013 Rexer Analytics Data Miner Survey were presented at last month's Predictive Analytics World conference in Boston. Here are some highlights of the responses from the 1,039 non-vendor partici...
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Fantasy Football Modeling with R
Boris Chen, a data scientist for the New York Times, has been running since August a weekly blog with statistical analysis of NFL players, as fodder for Fantasy Football players around the country. Here's how he describes what he does: My model pulls aggregated expert rankings from fantasypros, and I pass that data into a machine learning clu...
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Forbes on putting R-based analytics in the hands of business analysts
Forbes has published an article today on the integration between Alteryx and Revolution R Enterprise, which gives business analysts the ability to drag and drop to connect data sources to R-based models, such as this one for Market Basket analysis: (Experienced R users can always drill down to see the code behind the analysis, as you can see in ...
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Video: 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 failing?), time-to-event models are a useful framework. These models are closely related to survival analysis in life sciences, except that the outcome of interest i...
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