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Machine Learning for Hackers

February 16, 2012
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Machine Learning for Hackers

"Machine Learning for Hackers" is a new book from O'Reilly Media by Drew Conway and John Myles White. A "hacker", here, is "someone who likes to solve problems and experiment with new technologies", and "Machine Learning" is usually thought of as a black-box, algorithmic approach to producing predictions or classifications from data. This book, however, takes a pleasingly statistical...

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Revolution Newsletter: February 2012

February 15, 2012
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The most recent edition of the Revolution Newsletter is out. The news section is below, and you can read the full February edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Revolution Analytics Welcomes New CEO, Dave Rich. Dave joins the Revolution team from Accenture...

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"NIR Std. Dev. Spectra" with "R"

February 15, 2012
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"NIR  Std. Dev. Spectra" with "R"

(This article was first published on NIR-Quimiometría, and kindly contributed to R-bloggers) It is always good to look at the spectra from different points of view, before to develop a regression, this will help us to understand better our samples, to detect outliers, to check where the variability is, if that variability correlates with the constituent of interest (directly...

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R for Quants, Part I (B)

February 13, 2012
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R for Quants, Part I (B)

This is a continuation of the R workshop I’m teaching at the Baruch MFE program. This section discusses the programming …Continue reading »

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In case you missed it: January Roundup

February 13, 2012
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In case you missed them, here are some articles from January of particular interest to R users. Sponsorships from Revolution Analytics are now available for local R user groups in 2012. The winners of the Applications of R in Business Contest have been announced. The coefplot package visualizes model coefficients and standard errors in a line chart. Revolution Analytics...

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Multiple Factor Model – Building CSFB Factors

February 12, 2012
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Multiple Factor Model – Building CSFB Factors

This is the third post in the series about Multiple Factor Models. I will build on the code presented in the prior post, Multiple Factor Model – Building Fundamental Factors, and I will show how to build majority of factors described in the CSFB Alpha Factor Framework. For details of the CSFB Alpha Factor Framework

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R for Quants, Part I.A

February 12, 2012
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R for Quants, Part I.A

I’m teaching an R workshop for the Baruch MFE program. This is the first installment of the workshop and focuses on …Continue reading »

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"R" PLS Package: Multiple Scatter Correction (MSC)

February 12, 2012
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"R" PLS Package: Multiple Scatter Correction  (MSC)

MSC (Multiple Scatter Correction) is a Math treatment to correct the scatter in the spectra. The scatter is produced for different physical circumstances as particle size, packaging.Normally scatter make worse the correlation of the spectra with the constituent of interest.Almost all the chemometric software’s available include this math treatment and of course “R” have it as well in the...

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More Thoughts on Potential Audience Metrics for Hashtag Communities

February 10, 2012
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More Thoughts on Potential Audience Metrics for Hashtag Communities

Following on from the sketched ideas relating to estimating the Potential Audience Size for a Hashtag Community?, here are a few quick doodles around the graph representation of the tag users – followers graph that explore the extent to which we can use quite simple counts and analyses to get a feel for how the

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Visualising the Metropolis-Hastings algorithm

February 10, 2012
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Visualising the Metropolis-Hastings algorithm

In a previous post, I demonstrated how to use my R package MHadapive to do general MCMC to estimate Bayesian models. The functions in this package are an implementation of  the Metropolis-Hastings algorithm. In this post, I want to provide an intuitive way to picture what is going on ‘under the hood’in this algorithm. The

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