With regards to training, It is possible to perform this learning task without direct supervised (tagged data) training.
Imagine the following:
Take a trillions of images from the web, and use unsupervised, clustering methods to group images into groups of equivalence, given that you have great features that allow you to do that.
Then, given a cluster of millions of examples, take the surrounding text around the images source and try to find common denominators in the text. It's not far fetched to think that similar objects in the images will have similar words in the text.
Such "Big Data" research is now being done in various research facilities around the world.
Given how much the food industry is "concerned" with providing us with the best quality,
is it potentially possible that they can use this molecule to block our ability to sense some bad stuff that is in their products?
If you want to go for the soccer project, perhaps the biped kit would do.
At best, I had to use a system that can be described by a differential equation, but in discrete form and with simple functions that numerically solve the problem.
Not in my house it doesn't.
1 Win 7 laptop
1 MacBook Pro
1 Chrome Book
3 Raspberry PIs running Raspbian
1 Android tablet
1 Android phone
1 blackberry playbook
1 Apple TV
Looks like Linux wins, with Android a close second.
The best part is that this is all for one person living alone.
Perhaps I'm reading this wrong, but it seems that they're saying that in 2004, MS had a majority, but this is now changing and thus the bug can be closed. With your enumeration you simply give anecdotal evidence to this.
He works for 15 minutes and then asks the doctor for $200
The doctor says "I don't even make close to that!!"
The plumber replies: "When I was a doctor, I didn't either"
or because they insisted on making it an x86, due to IP pride and such,
which conflicted with Apple's vision.