Publications by Joseph Rickert
Learning R: Index of Online R Courses, October 2015
by Joseph Rickert Early October: somewhere the leaves are turning brilliant colors, temperatures are cooling down and that back to school feeling is in the air. And for more people than ever before, it is going to seem to be a good time to commit to really learning R. I have some suggestions for R courses below, but first: What does it mean to...
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Using miniCRAN in Azure ML
by Michele UsuelliMicrosoft Data Scientist Azure Machine Learning Studio is a drag-and-drop tool to deploy data-driven solutions. It contains pre-built items including data preparation tools and Machine Learning algorithms. In addition, it allows to include R and Python custom scripts. In order to build powerful R tools, you might want to use som...
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The 5th Tribe, Support Vector Machines and caret
by Joseph Rickert In his new book, The Master Algorithm, Pedro Domingos takes on the heroic task of explaining machine learning to a wide audience and classifies machine learning practitioners into 5 tribes*, each with its own fundamental approach to learning problems. To the 5th tribe, the analogizers, Pedro ascribes the Support Vector Machine...
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Party with the First Tribe
by Joseph Rickert In a recent previous post, I wrote about support vector machines, the representative master algorithm of the 5th tribe of machine learning practitioners described by Pedro Domingos in his book, The Master Algorithm. Here we look into algorithms favored by the first tribe, the symbolists, who see learning as the process of in...
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Instrumental Variables
by Joseph Rickert We all “know” that correlation does not imply causation, that unmeasured and unknown factors can confound a seemingly obvious inference. But, who has not been tempted by the seductive quality of strong correlations? Fortunately, it is also well known that a well done randomized experiment can account for the unknown confoun...
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Differential Privacy Mini-series from Win-Vector
by Nina ZumelPrincipal Consultant Win-Vector LLC We've just finished off a series of articles on some recent research results applying differential privacy to improve machine learning. Some of these results are pretty technical, so we thought it was worth working through concrete examples. And some of the original results are locked behind academ...
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Accessing Bitcoin Data with R
by Joseph Rickert I am not yet a Bitcoin advocate. Nevertheless, I am impressed with the amount of Bitcoin activity and the progress that advocates are making towards having Bitcoin recognized as a legitimate currency. Right now, I am mostly interested in the technology behind bitcoin and the possibility of working with some interesting data sets...
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fluent-r: a new R analytics integration library for JVM developers
by David Russell, fluent-r developer fluent-r is a new R analytics integration library for JVM application developers that improves upon existing solutions for integrating R analytics services delivered by popular open source R integration servers DeployR and OpenCPU. The fluent-r library provides a natural-language DSL alongside a simple API t...
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H2O World 2015
by Joseph Rickert The second, annual H2O World conference finished up yesterday. More than 700 people from all over the US attended the three-day event that was held at the Computer History Museum in Mountain View, California; a venue that pretty much sits well within the blast radius of ground zero for Data Science in the Silicon Valley. This wa...
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Rated R: Recommended Reading
by Joseph Rickert What are you reading? – and what are you recommending to friends, colleagues, and students who want to learn something about R programming? A quick search of Amazon will show that there are several new R books proposed for 2016; but of course, new doesn't necessarily mean better. I fully expect that many new books in all areas...
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