3302 search results for "MAP"

The HP Workshop on Distributed Computing in R

February 12, 2015
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The HP Workshop on Distributed Computing in R

by Joseph Rickert In the last week of January, HP Labs in Palo Alto hosted a workshop on distributed computing in R that was organized by Indrajit Roy (Principal Researcher, HP) and Michael Lawrence (Genentech and R-core member). The goal was to bring together a small group of R developers with significant experience in parallel and distributed computing to...

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MazamaSpatialUtils Package

February 11, 2015
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MazamaSpatialUtils Package

This entry is part 15 of 15 in the series Using RMazama Science has just released its first package on CRAN — MazamaSpatialUtils. Here is the description: A suite of conversion scripts to create internally standardized spatial polygons dataframes. Utility …   read more ...

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Code as Magic, and the Vernacular of Data Wrangling Verbs

February 11, 2015
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Code as Magic, and the Vernacular of Data Wrangling Verbs

It’s been some time now since I drafted most of my early unit contributions to the TM351 Data management and analysis course. Part of the point (for me) in drafting that material was to find out what sorts of thing we actually wanted to say and help identify the sorts of abstractions we wanted to

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More on Quadratic Progarmming in R

February 10, 2015
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More on Quadratic Progarmming in R

This post is another tour of quadratic programming algorithms and applications in R. First, we look at the quadratic program that lies at the heart of support vector machine (SVM) classification. Then we'll look at a very different quadratic programming demo problem that models the energy of a circus tent. The key...

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Enhancing R for Distributed Computing

February 10, 2015
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Enhancing R for Distributed Computing

A summary of a recent workshop at HP Labs addressed “Distributed Computing in R”

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Why you should start by learning data visualization and manipulation

February 10, 2015
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One of the biggest issues that comes up when I talk to people who want to get started learning data science is the following: I don’t know where to get started! Recently, I argued that R is the best programming language to learn when you’re getting started with data science. While this helps you select The post

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In case you missed it: January 2015 roundup

February 9, 2015
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In case you missed them, here are some articles from January of particular interest to R users. Slides on reproducible data analysis with Revolution R Open and the checkpoint package. A review of a recent Bay Area R User Group meetup, featuring Hadley Wickham, Ryan Hafen and Nick Elprin. In an article at opensource.com, I explain why now is...

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PELTing a Competing Changepoint Algorithm

February 9, 2015
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PELTing a Competing Changepoint Algorithm

This post will demonstrate the PELT algorithm from the changepoint package–a competing algorithm to the twitter package’s breakout detection algorithm. … Continue reading →

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Chapter 3 of Modeling data with functional programming in R is out

February 8, 2015
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Chapter 3 of Modeling data with functional programming in R is out

Chapter 3 of my book “Modeling data with functional programming in R” is available for download. This chapter describes map-vectorization …Continue reading →

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Paris’s history, captured in its streets

February 2, 2015
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Paris’s history, captured in its streets

The following image by Mathieu Rajerison has been doing the rounds of French media recently. It shows the streets of Paris, color-coded by their compass direction. It's been featured in an article in Telerama magazine, and even on French TV Channel LCI (skip ahead to 8:20 in the linked video. which also features an interview with Mathieu). Mathieu used...

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