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David Smith
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Revolution Analytics
Revolution Analytics

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After well-known political forecaster Nate Silver departs, the New York Times creates an open-source algorithm in R to predict US Senate elections. Article: http://www.nytimes.com/newsgraphics/2014/senate-model/methodology.html
Code: https://github.com/TheUpshot/leo-senate-model 
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My interview with Scoble on Big Data, Data Science, statistics and R.
Revolution Analytics: Deriving Greater Meaning from Critical Data

This video is for big enterprise developers:

David Smith, VP of Marketing and Community of Revolution Analytics, talks about the open sourced programming language "R" and how Revolution Analytics is enabling data scientists and statisticians get the most from this language and data.

Listen in to learn how the open source language "R" has impacted data scientists and statisticians today and how its' product "Revolution R Enterprise" is building on top of the programming language to work with Big Data on a scalable model.

http://revolutionanalytics.com
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Heading to a meeting with +Robert Scoble to chat about how statistical models deliver insights to devices in the Age of Context. Should be fun!
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A very impressive group of people in the equities group created an investment platform that integrates multiple and diverse data sources as well as data visualization tools with a seamless hand-off between research and production.
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 This 4-hour workshop shows how to perform the most commonly used data management tasks in R. For many topics we will cover both the standard built-in approach and then perform the same task using add-on packages that are often much easier to use. 
We will devote most of our time to working through examples that you may run simultaneously on your computer. However, handouts will include each step and its output if you prefer instead just relax and take notes.  At the end of the workshop, you will receive a set of practice exercises for you to do on your own time, as well as solutions to the problems. The instructor will be available via email to address these problems or any other topic in the workshop.
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Where I try and explain Big Data and predictive analytics in one 20-minute Strata talk. 
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The Oxford and Cambridge rowing clubs have found a unique method for finding the best crew given a difficult contraint: their rivers aren't wide enough to run traditional races. Instead, boats line up in single file and swap positions when they bump each other. This re-ordering is preserved from race to race and from year to year, making for a bubble-sort simulation that's been running for nearly 200 years. http://blog.revolutionanalytics.com/2013/03/worlds-longest-mcmc.html
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