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Comment: R is not an emerging star (Score 1) 143

R has been around for a long time and has long been a standard.

Pythons sklearn is indeed an 'emerging star'.

Personally I use both.

Also have a look at some of the many stand alone tools vowpal wabbit (blazingly fast for regression learning, scales to ridiculous amounts of data) is superb, as is sofia-ml (for clustering, again scales quite well)

I tie them all together in python, since there are python bindings for R, and you can use pythons 'Subprocess' module to pipe commands and data for commandline tools that don't have python bindings.

There are other useful tools as well - I use Weka for some of my initial visualization and when I'm feeling lazy and want a quick result.

Comment: Re:So will he go to jail upon return to the US? (Score 5, Insightful) 190

by LetterRip (#47347407) Attached to: Eric Schmidt and Entourage Pay a Call On Cuba

The ban has nothing to do with 'Cold War tensions' it is because Cuban immigrants to Florida hate Castro for the property that he nationalized - and pissing off those voters risk losing Florida in federal elections (and thus losing the Presidential election). Thus draconian prohibitions related to Cuba stay in place.

Comment: Re:No, they're replacing. (Score 3, Informative) 341

by LetterRip (#47336533) Attached to: If Immigration Reform Is Dead, So Is Raising the H-1B Cap

"There is not a fixed number of jobs in an economy."

There is demand elasticity for labor, but it is not related to availability of labor it is related to demand for goods and services, not availability of labor. The demand for labor is essentially fixed or decreasing without some sort of driver for demand. Immigration can be a source of demand, but it isn't necessarily a source of demand. Since most immigrants send much of their income to their home country they tend to be a net reduction in demand.

The reason unemployment is correlated to immigration is that countries relax immigration requirements when there is a shortage of labor.

Comment: Re:Bad analogy (Score 1) 185

by LetterRip (#47088231) Attached to: R Throwdown Challenge

Look at ipython notebook,

it is a lot like the workflow for mathematica or R.

Look at pandas + scipy stack.

pandas replicates the functionality of R dataframes but integrates many features found in external R packages in a beatiful and intuitive way.

notebook + scipy stack (scipy, numpy, sklearn, matplotlib w seaborn or use ggplot if you prefer) + pandas is enough to largely eliminate the need for R for most people doing machine learning or statistical.analysis (there are still occassional times when I need something from R but it is rare).

Comment: To generate the keywords takes knowledge (Score 1) 187

by LetterRip (#46885791) Attached to: Grading Software Fooled By Nonsense Essay Generator

Since the essays are grading subject knowledge, and it takes subject knowledge to provide the keywords, it is fairly irrelevant if the essay happens to be structured in a manner that is nonsensical.

Demonstration of deeper understanding, if it needs to be tested, can be achieved via other types of questions.

Biology is the only science in which multiplication means the same thing as division.

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