So it was used back then as a platform to simulate movement at sea, and that's exactly what they are going to use it for now (after a few upgrades).
The F-16 jets were created in the 70s and are still upgraded to this day. I don't see how this is that different.
Coursera has been offering this for some months as well. For about 50$ per course they offer you a "validated certificate", meaning they check if it's really you taking the course. I don't know if this can be used as credit for at certain colleges. I know some courses actually had the college students taking the online course as well.
https://www.coursera.org/signature/
Most fish used in sushi doesn't come from the Pacific.
It comes from fishing farms, where the fish have so little room that most are sick, so pesticides and anti-biotics are used to keep them alive until they're good to harvest.
No need to tell you eat that stuff as well.
> Granted, not high enough salaries to justify the time spent: you don't get a good monetary ROI on the PhD.
You get paid to get a degree (PhD). A rather sweet deal, no?
If I had to choose (software engineering) between a fresh out of school PhD or a M.Sc. with 4 years of work experience and having a couple of projects under his belt though...
Because that's how "science" works in Psychology.
You come up with some ridiculous simple experiment, like giving people the same amount of money for a simple boring task, or a complex creative task.
Turns out most people go for the simple boring one.
Study Conclusion: People prefer simple boring tasks!
My Conclusions: why take more risk in screwing up when you can make the same money with something easy?
Who says these researchers didn't select experiments they a-priori thought seemed reasonable?
Andrew Ng didn't use random forests but a neural network to actually "learn" discriminative features *UNSUPERVISED*.
This is done by creating a Neural Network that basically projects it's input on it's output (it's like an identity function).
Lets say you have 100 input parameters, and 100 output parameters. What you want the neural network to do is compress these 100 to (for example) 10 nodes, then go back to the initial 100. In the process, this neural network will actually learn an identity function, where it will learn the important discriminative features in those 10 nodes.
This is somewhat different from how you usually use a neural network, starting with input parameters, go through a couple of hidden layers and end up with just a couple of output results.
Andrew Ng's google experiment did exactly that! It was not fed cat images. It was fed random images and through deep learning actually learned the concept of cats *UNSUPERVISED*.
At least someone managed to monetize the tragedy that Haiti was.
God (or the spaghetti monster) forbid the money spend on those lawsuits and the payouts would go to, you know, the victims of the earthquake.
That's called Deep Learning (http://en.wikipedia.org/wiki/Deep_learning) and has already been done by Andrew Ng, Machine Learning professor at Stanford in co-operation with google (http://www.wired.com/wiredenterprise/2013/05/neuro-artificial-intelligence/). Indeed, it learned how to recognize cats:)
Oh, come on.
Plenty of these companies already worked together with China behind the great firewall or other countries that required a tight all encompassing security/censoring framework.
It's just the quirks of doing business in a country, your home country included.
The problem is that there is no inherent logic, like math or physics.
It's a (big) bunch of rules and exceptions on how to mix 'ingredients' together.
So if you can let lose of all the 'but why?' questions and just follow the recipe, you'll do great.
That wasn't me, though. I've never really got the hang of it, although I love science, so I was happy to leave all those carbon rings behind after high school.
Sure.
You can also just open the box and let the green light blink when it senses a paper.
Fix: test the machine first with real euros and plain paper.
Bullshit!
The US spends close to 18% of GDP on Healthcare (http://en.wikipedia.org/wiki/List_of_countries_by_total_health_expenditure_%28PPP%29_per_capita).
At least 6% more than Western countries offering full coverage for everyone.
To basically get no coverage, unless you (or your employer) are paying for expensive insurance?
The current system is fundamentally broken. You have these huge for-profit health organizations that basically get money from government AND are charging customers (let's not call them patients) nicely. They are cashing in twice!
The US could easily come up with a system that costs half the price of the current one while offering health coverage for each!
And in such a system, you could still choose to pay a premium for extra health insurance getting you 'nicer' healthcare with private room etc..., which, guess what, will cost you much less than the premiums you guys are paying right now. (I'm talking about 100$ a month maybe!)
Some collegues and friends know about her fetish? The truth is basically already out there since multiple people can already connect the dots.
As for the full story, yes I'm sure you can still maintain your pseudonymity. I don't think many people in the online fetish scene will display their real name, so some service will always cater to that need.
Of course the big data aggregators like google/facebook/ad services and your local ISP will probably be able to connect the dots as well, but that's why it's pseudo-anonymity and not full fledged anonymity.
Slashdot Mirror
It just means you don't have to write or worry about "boilerplate code".
The GitHub link actually contains all that information.
So it was used back then as a platform to simulate movement at sea, and that's exactly what they are going to use it for now (after a few upgrades).
The F-16 jets were created in the 70s and are still upgraded to this day. I don't see how this is that different.
Belgium is around 20 euro cents per kWh for the end consumer. And the end-consumer will just pay what they usually pay.
Coursera has been offering this for some months as well. For about 50$ per course they offer you a "validated certificate", meaning they check if it's really you taking the course. I don't know if this can be used as credit for at certain colleges. I know some courses actually had the college students taking the online course as well. https://www.coursera.org/signature/
submit_button.onClick() {
message.show("thank you for your input!");
}
Okay, so they used supervised machine learning techniques and depending on the "features" of the user entry decide the accuracy.
Good for them!
Most fish used in sushi doesn't come from the Pacific.
It comes from fishing farms, where the fish have so little room that most are sick, so pesticides and anti-biotics are used to keep them alive until they're good to harvest.
No need to tell you eat that stuff as well.
> Granted, not high enough salaries to justify the time spent: you don't get a good monetary ROI on the PhD.
You get paid to get a degree (PhD). A rather sweet deal, no?
If I had to choose (software engineering) between a fresh out of school PhD or a M.Sc. with 4 years of work experience and having a couple of projects under his belt though...
Because that's how "science" works in Psychology.
You come up with some ridiculous simple experiment, like giving people the same amount of money for a simple boring task, or a complex creative task.
Turns out most people go for the simple boring one.
Study Conclusion: People prefer simple boring tasks!
My Conclusions: why take more risk in screwing up when you can make the same money with something easy?
Who says these researchers didn't select experiments they a-priori thought seemed reasonable?
I took it 2 years ago ;-)
Great course!
Andrew Ng didn't use random forests but a neural network to actually "learn" discriminative features *UNSUPERVISED*.
This is done by creating a Neural Network that basically projects it's input on it's output (it's like an identity function).
Lets say you have 100 input parameters, and 100 output parameters. What you want the neural network to do is compress these 100 to (for example) 10 nodes, then go back to the initial 100. In the process, this neural network will actually learn an identity function, where it will learn the important discriminative features in those 10 nodes.
This is somewhat different from how you usually use a neural network, starting with input parameters, go through a couple of hidden layers and end up with just a couple of output results.
Andrew Ng's google experiment did exactly that! It was not fed cat images. It was fed random images and through deep learning actually learned the concept of cats *UNSUPERVISED*.
and here are some references for this:
http://www.nbcnews.com/technology/google-built-machine-learns-find-cats-internet-846690
http://www.economist.com/blogs/babbage/2012/06/babbage-june-27th-2012
http://www.nytimes.com/2012/06/26/technology/in-a-big-network-of-computers-evidence-of-machine-learning.html
At least someone managed to monetize the tragedy that Haiti was.
God (or the spaghetti monster) forbid the money spend on those lawsuits and the payouts would go to, you know, the victims of the earthquake.
That's called Deep Learning (http://en.wikipedia.org/wiki/Deep_learning) and has already been done by Andrew Ng, Machine Learning professor at Stanford in co-operation with google (http://www.wired.com/wiredenterprise/2013/05/neuro-artificial-intelligence/). Indeed, it learned how to recognize cats :)
Anyway, nothing wrong with some peer research!
they seem to be separated by a comma
Oh, come on.
Plenty of these companies already worked together with China behind the great firewall or other countries that required a tight all encompassing security/censoring framework.
It's just the quirks of doing business in a country, your home country included.
The problem is that there is no inherent logic, like math or physics.
It's a (big) bunch of rules and exceptions on how to mix 'ingredients' together.
So if you can let lose of all the 'but why?' questions and just follow the recipe, you'll do great.
That wasn't me, though. I've never really got the hang of it, although I love science, so I was happy to leave all those carbon rings behind after high school.
Sure.
You can also just open the box and let the green light blink when it senses a paper.
Fix: test the machine first with real euros and plain paper.
Bullshit!
The US spends close to 18% of GDP on Healthcare (http://en.wikipedia.org/wiki/List_of_countries_by_total_health_expenditure_%28PPP%29_per_capita).
At least 6% more than Western countries offering full coverage for everyone.
To basically get no coverage, unless you (or your employer) are paying for expensive insurance?
The current system is fundamentally broken. You have these huge for-profit health organizations that basically get money from government AND are charging customers (let's not call them patients) nicely. They are cashing in twice!
The US could easily come up with a system that costs half the price of the current one while offering health coverage for each!
And in such a system, you could still choose to pay a premium for extra health insurance getting you 'nicer' healthcare with private room etc..., which, guess what, will cost you much less than the premiums you guys are paying right now. (I'm talking about 100$ a month maybe!)
> We need janitors as much as we need CEOs
I don't agree. We need janitors way more.
> "This could lead to more compact accelerators and X-ray devices."
...and weapons.
As if these cops know the law by heart. They just know the couple of laws they have to enforce by upper management to fill their ticket quota.
Some collegues and friends know about her fetish? The truth is basically already out there since multiple people can already connect the dots.
As for the full story, yes I'm sure you can still maintain your pseudonymity. I don't think many people in the online fetish scene will display their real name, so some service will always cater to that need.
Of course the big data aggregators like google/facebook/ad services and your local ISP will probably be able to connect the dots as well, but that's why it's pseudo-anonymity and not full fledged anonymity.
Volgens onderzoek zijn werknemers die vaak op internet zitten productiever.
I, for one, welcome our new Reaper overlords!