Monthly Archives: April 2011

VideoLectures.net Recommender System Competition

April 27, 2011
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VideoLectures.net Recommender System Competition

A Guest post to R-bloggers by Bart Blaszczyk. * * * * * * * * This week a new data competition for the best recommendation system begins. Similar in a form to the famous Netflix Prize, asks data scientists, algorithm geeks and statisticians to devise the most accurate algorithm that suggests in personalized way what movies may be of interest for visitors...

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Day #28 ggplot2 in knime

April 27, 2011
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If you haven’t read yesterday’s post, I advise you to do so, because this is the fix of yesterday. Day #27: A lot of graphics in one place I found out how to use ggplot2 in knime. Say, for example, your code is this: library(ggplot2) myplot...

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Choosing a Machine Learning Classifier

April 26, 2011
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How do you know what machine learning algorithm to choose for your classification problem? Of course, if you really care about accuracy, your best bet is to test out a couple different ones (making sure to try different parameters within each algorithm as well), and select the best one by cross-validation. But if you’re simply looking for a “good...

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Bug Collector

April 26, 2011
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Bug Collector

Most are quite unamused to find an ant infestation in their kitchen around this time of year. Time to start spraying that stuff that's not supposed to be harmful to humans but that you always wonder if it is anyway. Some bugs, such as ant attacks or so...

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Plotting Maps with R

April 26, 2011
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Plotting Maps with R

I stumbled upon this tutorial while not studying and I thought it would be fun to try and plot maps of the San Francisco Bay Area household income, education, population density, poverty, etc...To do this I needed a Shapefile for the Bay Area zip codes similar to the London borough file used in...

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“Inside” Functors

April 26, 2011
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“Inside” Functors

So, WordPress doesn’t like RweaveHTML, so this is posted at http://strugglingthroughproblems.blogspot.com/2011/04/inside-functors.html

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Great FAJ Article on Statistical Measure of Financial Turbulence Part 3

April 26, 2011
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Great FAJ Article on Statistical Measure of Financial Turbulence Part 3

Building on posts Great FAJ Article on Statistical Measure of Financial Turbulence and Great FAJ Article on Statistical Measure of Financial Turbulence Part 2, I will now build a system incorporating a new correlation-based measure of turbulence and a ...

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Revolution R Enterprise 4.3 now available

April 26, 2011
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We've just released the latest update to Revolution R Enterprise, version 4.3. This release includes version 2.12.2 of the open-source R engine linked with high-performance libraries, and packages it with additional functionality from Revolution Analytics for big data statistics, web services deployment, a Windows UI for R programming and debugging, and much more. Detailed information about the new release...

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New functions for linear model inference in Revolution R Enterprise 4.3

April 26, 2011
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The latest release of Revolution R Enterprise shows how Revolution Analytics’ package for big data, RevoScaleR, is continuing add new capabilities for Big Data statistics. RevoScaleR removes the limits on the size of the data that can be processed in R through the use of the highly efficient .Xdf binary file format. Xdf stores data by rows within columns...

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Great FAJ Article on Statistical Measure of Financial Turbulence Part 2

April 26, 2011
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Great FAJ Article on Statistical Measure of Financial Turbulence Part 2

I did not intend for this to be a multi-part series, but after some clear thinking at the beach over the weekend, I decided that it needed some more analysis.  For those of you that read the article or know Mahalanobis distance, the measure I pre...

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