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You've confused statutory with effective rate.

The US has one of the lowest effective rates (how much the corporation actually pays after deductions, etc.), but one of the highest statutory rates (the worst theoretical possible rate that a corporation would pay if it had zero deductions and enormous profits).

My theory is that these are inducements to keep the 'double irish' and 'dutch sandwich' tax dodges available. It seems highly unlikely that Ireland and Netherlands, the two countries that have Allowed apple to avoid hundreds of billions in taxes, and which have suggested that they might change these tax practices, have suddenly become recipients of major investments.

http://www.investopedia.com/terms/d/double-irish-with-a-dutch-sandwich.asp

Consumption taxes are relatively easy to evade.

Also the benefit from public tax expenditures isn't proportional to consumption, it is proportional to net worth.

Bill Gates benefits enormously from public education and public funding of universities. He benefits enormously from international trade negotiations and the military keeping international trade relations stable.

The creativity involved from my limited exposure seems close to nonexistant.

I don't really see any benefit from it, compared to any other game. Are parents just deluding themselves? Or is there some substantial creative benefit that I'm not seeing?

It doesn't cost anywhere close to that to bring a new drug to market try more like 43 million, but actually a lot less.

http://www.pharmamyths.net/fil...

That is surprising that folks that claim C knowledge don't know that.

"There's a pretty big maturity difference between a grown-ass man and a 10 or 11 year old."

For many men, not as much as one might hope.

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.

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.

So what are the legal consequences for this?

Personally I'd like to visit Cuba but haven't, in part due to the illegality.

"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.

I wouldn't call 20 years ago 'recent'.- Penrose Harmerhoff Orch Orr model was using the data on microtubules and anesthesia as support for the quantum conciousness theory in 1995.

3 million stolen last year, doubling compared to the previous year

http://thinkprogress.org/econo...

Having used Weka, sklearn, vowpal wabbit, Orange, and lots of others - I'd say that Weka is my least favorite, it is slow and has crappy memory management. I do use it occassionaly for feature ranking and reduction, but rarely for the actual machine learning.

So what they really mean is that to increase adoption rate, they need more people trained on it.