Dataspora

NeuString - Welcome An Introduction to R Table of Contents This is an introduction to R (“GNU S”), a language and environment for statistical computing and graphics. R is similar to the award-winning1 S system, which was developed at Bell Laboratories by John Chambers et al. Predictive Modeling and Data Mining Scientists/Analysts at Obama 2012 Presidential Campaign, Chicago, IL analyze the campaign data to guide election strategy and develop quantitative, actionable insights that drive our decision-making. Looking for people at both the senior and junior level to join the campaign Analytics Dept through November 2012. Company: Obama 2012 Presidential CampaignLocation: Chicago, ILWeb: www.barackobama.com The Obama for America Analytics Department analyzes the campaign's data to guide election strategy and develop quantitative, actionable insights that drive our decision-making. Our team's products help direct work on the ground, online and on the air.

Pedestrian path measurement technology The R programming language for programmers coming from other pro IntroductionAssignment and underscoreVariable name gotchasVectorsSequencesTypesBoolean operatorsListsMatricesMissing values and NaNsCommentsFunctionsScopeMisc.Other resources Ukrainian translation Other languages: Powered by Translate

How Fab.com Raised $40 Million With A Lot Of Data And No Pain Let’s face it, fundraising can be a real pain in the ass for the entrepreneur. It takes up a ton of time that can be otherwise spent managing the business. Sure, it’s a necessary evil, but it’s also typically a big distraction. It’s also a lot like dating. Kognitio - In-memory Analytic Database Guide to Getting Started in Machine Learning Someone at work recently asked how he should go about studying machine learning on his own. So I’m putting together a little guide. This post will be a living document…I’ll keep adding to it, so please suggest additions and make comments. Fortunately, there’s a ton of great resources that are free and on the web. The very best way to get started that I can think of is to read chapter one of The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2009 edition). The pdf is available online.

Increasing profits using network analysis R in Action - early thoughts I was invited to review the book R in Action written by Rob Kabacoff. Since I consider the Quick-R website, created by the same smart guy, one of the most valuable resources about R, It is both an honor and a pleasure to have the opportunity to take an early look at his book and to express some thoughts about it. First, this book is distributed under an early access policy that means, as it is stated on the editor's web site, that: This Early Access version of the book enables you to receive new chapters as they are being written. You can also interact with the authors to ask questions, provide feedback and errata, and help shape the final manuscript on the Author Online. The customer acquisition company