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Learning from Learning Curves

March 29, 2016
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Learning from Learning Curves

by Bob Horton, Senior Data Scientist, Microsoft This is a follow-up to my earlier post on learning curves. A learning curve is a plot of predictive error for training and validation sets over a range of training set sizes. Here we’re using simulated data to explore some fundamental relationships between training set size, model complexity, and prediction error. Start...

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Trump Losing and Feeling the Bern in Utah

March 24, 2016
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Trump Losing and Feeling the Bern in Utah

Well, it’s been an interesting election season so far, right? Everybody holding up OK? Utah held its caucuses this past Tuesday on March 22 and I thought I would do a bit of plotting to show the results. We can get the JSON data from CNN, as pointed out by Bob Rudis in his post here. Utah’s results...

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Get ready for the New York R Conference

March 24, 2016
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Get ready for the New York R Conference

by Joseph Rickert Last year, I wrote the New York R Conference “set the bar pretty darn high for a first time conference”. Not only was there an outstanding lineup of speakers, but the energy and enthusiasm that conference attendees brought with them, or maybe just generated on the spot, was remarkable. This year I am definitely looking forward...

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satRdays are go!

March 23, 2016
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I’m very pleased to say that the R Consortium agreed to the support the satRday project! The idea kicked off in November and I was over the moon with the response from the community, then we garnered support before submitting to the Consortium and I must have looped the moon a few times as we The post

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Keynotes announced for EARL 2016

March 22, 2016
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Keynotes announced for EARL 2016

We are pleased to announce our two keynote speakers this year at EARL (Effective Application of the R Language) Conference from 13th-15th September. The keynotes will be presenting on the morning of Wednesday 14th September. Kenneth Cukier Kenneth Cukier is … Continue reading →

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R Markdown Custom Formats

March 21, 2016
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R Markdown Custom Formats

The R Markdown package ships with a raft of output formats including HTML, PDF, MS Word, R package vignettes, as well as Beamer and HTML5 presentations. This isn’t the entire universe of available formats though (far from it!). R Markdown formats are fully extensible and as a result there are several R packages that provide additional formats.

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Improve SVM Tuning through Parallelism

March 19, 2016
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Improve SVM Tuning through Parallelism

As pointed out in the chapter 10 of “The Elements of Statistical Learning”, ANN and SVM (support vector machines) share similar pros and cons, e.g. lack of interpretability and good predictive power. However, in contrast to ANN usually suffering from local minima solutions, SVM is always able to converge globally. In addition, SVM is less

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More on preparing data

March 18, 2016
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More on preparing data

The Microsoft Data Science User Group just sponsored Nina Zumel‘s presentation “Preparing Data for Analysis Using R”. Microsoft saw Win-Vector LLC‘s ODSC West 2015 presentation “Prepping Data for Analysis using R” and generously offered to sponsor improving it and disseminating it to a wider audience. We feel Nina really hit the ball out of the … Continue reading...

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R in Insurance: Abstract submission closes end of March

March 18, 2016
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R in Insurance: Abstract submission closes end of March

Hurry! The abstract submission deadline for the 4th R in Insurance conference in London, 11 July 2015 is approaching soon. You have until the 28th of March to submit a one-page abstract for consideration. Both academic and practitioner proposals related to R are...

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text2vec 0.3

March 16, 2016
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Today I’m pleased to announce preview of the new version of text2vec. It is located in the 0.3 development branch, but very soon (probably in about a week) it will be merged into master. To reproduce examples below, please install [email protected] from github: devtools::install_github([email protected]')Also I’m waiting for feedback from text2vec users, please spend a few minutes: What APIs are not clear /...

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