People were doing this when I was an undergrad, almost 20 years ago. I specifically remember a six legged robot that had to figure out how to walk by itself.
Are airports more efficient than interstates in terms of infrastructure costs? And I read somewhere (Freakonomics?) that there are seven parking spaces per car in the U.S. Is that the same for airplanes?
The problem with Esperanto is that it isn't easy to learn. It's easier than French and English, but for anyone who grew up in Asia for example it's actually quite difficult because of it's European bias. See http://en.wikipedia.org/wiki/E...
Lojban tries to solve this problem. I don't know how well they succeed.
Since when is a statistical sample of 37% not adequate?
Since it's a self-selecting, biased sample.
Business professionals doing data analysis
on
Go R, Young Man
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· Score: 1
Should study SAS instead, if they want "to gain an edge on their peers." R is dominant in academia, but SAS is dominant in business and government. Assuming you're not an Excel wizard already. Whether you use R or SAS, you will be interfacing with your co-workers through Excel.
I've always said that data scientist is just a buzzword for statistician. Another statistician called me on that one day, and said "No, a data scientist is a programmer." I'm sorry, but in this day and age, if you are a statistician who can't program, you're not a very good statistician.
Lots of people are complaining about this, but if you read the article (sorry, I'm new to slashdot) you'd see that the idea was to have none of that. He was tired of moving his hands around they keyboard to get to all of those things, and wanted to have access to them on the main keyboard. Probably for silly reasons like increasing speed and decreasing carpal tunnel,
$3,800 x 9 million students x 2 years = $68.4 billion dollars. Perhaps not a lot when you consider the full federal budget, but it's more than we spent on the entire Department of Education last year.
The real numbers that matter are 54% and 57%, the Republican portion of the Senate and the House of Representatives.
What were they thinking, trading slightly more fragile bones for longer life spans, less dangerous lifestyles, philosophy, sanitation, modern medicine, equal rights, going to the moon, labor saving devices, the internet, quantum physics, cell phones, the internal combustion engine, and digital watches?
We already have primates that can communicate with humans in a human language (American Sign Language or something similar) at the level of a child.
To be clear, when you say "child," that means a 2-3 year old. They never (after a lot more than 2-3 years) get past simple two word sentences. It's not clear they're even doing that. Since they never demonstrate any understanding of grammar, it's almost impossible to show they're not just learning tricks to get a desired result.
You're confusing two separate things: proportional representation and parliamentary systems. The two are typically combined, but there is nothing necessary about that. If the U.S. elected Congress through proportional representation, but continued to elect the President through popular vote (er, I mean the Electoral College), you would have the multiple parties of proportional representation without the instability of having to form a coalition government.
I programmed Hypercard a lot in middle/high school in the mid 80s. I got to college and was taking an AI course using Lisp, and was working on a reinforcement learning assignment. I had a bug in my program I couldn't track down. The smartest guy in the class sat next to me and he couldn't figure out the bug. Neither of the two TAs for the class could figure out the bug. I rewrote it from scratch and still had the bug. At one point I said "If I was working in Hypercard, I know how I could solve this." The smartest guy in the class said "That's crazy." The TA who was helping me out said "When you're ready to talk seriously about this I'll come back and help you."
I went home that night a wrote it in Hypercard and it worked. Slow as all hell (it took 24 hours for one test run), but it worked. It was easy to make nice graphics of the mouse and the maze the assignment was about, which went into the final report. I got 110/A+ on the assignment.
If the theoretical simulations are correct (these would be the theoretical simulations based on a small number of observations and a lot of conjecture about the underlying forces at work), then the vast majority of planets are homeless. But of course, the headline and the summary state it as a fact.
Let's say you had an alternative statistical method for judging treatments during a crisis situation like Ebola. It's not out of the question. All sorts of statistical methods have been developed for situations where you can't get the number and type of observations you want. Now think about applying that method where the Ebola crisis is happening. You think the data collection is going to be any better than the health care? It's going to be worse. I spent ten years working with data from emergency rooms in the U.S. It's got lots of problems. Of course it does, the doctors are more concerned about healing the patients than they are about collecting data. Which is the way things should be. You think the doctors in Africa dealing with Ebola right now have the time or training to deal with the data collection?
When they make an actual smart watch, as opposed to a phone-accessory-worn-on-the-wrist, I may buy one. To me, a smart watch would be a computerized watch that does time things far better than a classic watch. I haven't seen one of those yet.
I used to be you, almost exactly. Almost everything we do at work is in SAS, and I was pushing hard for R and Python and getting nowhere. I hated SAS because it was so clunky and out of date. So many SAS programs are bad because they're being done by statisticians with no programming background. Then I went to NESUG a few years ago and saw presentations by the likes of Whitlock, Dorfman, and others, and realized serious programming *was* being done in SAS. I resolved to just become the best SAS programmer I could.
The first thing you need to do is stop programming Python in SAS. SAS is like Lisp in that it is a different paradigm, and not programming in that paradigm only makes things harder. Learn that paradigm. Learn the data step inside and out. Every time you have a %do loop, ask yourself if you can do it in a data step. Every time you wish you had OOP, ask yourself if you could represent the objects in a data set. Or learn the new ds2 data step that has OOP. Learn proc sql and know when it's better to use than a data step.
That's what I did, and it took my SAS programming to a whole new level, and allowed me to innovate legacy code and transform the applications we were using. Because back when I was you, SAS wasn't the obstacle to innovation, I was.
Slashdot Mirror
People were doing this when I was an undergrad, almost 20 years ago. I specifically remember a six legged robot that had to figure out how to walk by itself.
Are airports more efficient than interstates in terms of infrastructure costs? And I read somewhere (Freakonomics?) that there are seven parking spaces per car in the U.S. Is that the same for airplanes?
It's poker that's dumb enough to be on TV. If they want a real challenge they should play seven stud.
The problem with Esperanto is that it isn't easy to learn. It's easier than French and English, but for anyone who grew up in Asia for example it's actually quite difficult because of it's European bias. See http://en.wikipedia.org/wiki/E...
Lojban tries to solve this problem. I don't know how well they succeed.
Since when is a statistical sample of 37% not adequate?
Since it's a self-selecting, biased sample.
Should study SAS instead, if they want "to gain an edge on their peers." R is dominant in academia, but SAS is dominant in business and government. Assuming you're not an Excel wizard already. Whether you use R or SAS, you will be interfacing with your co-workers through Excel.
I've always said that data scientist is just a buzzword for statistician. Another statistician called me on that one day, and said "No, a data scientist is a programmer." I'm sorry, but in this day and age, if you are a statistician who can't program, you're not a very good statistician.
Lots of people are complaining about this, but if you read the article (sorry, I'm new to slashdot) you'd see that the idea was to have none of that. He was tired of moving his hands around they keyboard to get to all of those things, and wanted to have access to them on the main keyboard. Probably for silly reasons like increasing speed and decreasing carpal tunnel,
Can we get some new ones where violence is bad and love is good?
Film at eleven.
Texas Hold'em is poker that's stupid enough to show on TV. Wake me when it figures out 7-card stud.
$3,800 x 9 million students x 2 years = $68.4 billion dollars. Perhaps not a lot when you consider the full federal budget, but it's more than we spent on the entire Department of Education last year. The real numbers that matter are 54% and 57%, the Republican portion of the Senate and the House of Representatives.
What were they thinking, trading slightly more fragile bones for longer life spans, less dangerous lifestyles, philosophy, sanitation, modern medicine, equal rights, going to the moon, labor saving devices, the internet, quantum physics, cell phones, the internal combustion engine, and digital watches?
We already have primates that can communicate with humans in a human language (American Sign Language or something similar) at the level of a child.
To be clear, when you say "child," that means a 2-3 year old. They never (after a lot more than 2-3 years) get past simple two word sentences. It's not clear they're even doing that. Since they never demonstrate any understanding of grammar, it's almost impossible to show they're not just learning tricks to get a desired result.
You're confusing two separate things: proportional representation and parliamentary systems. The two are typically combined, but there is nothing necessary about that. If the U.S. elected Congress through proportional representation, but continued to elect the President through popular vote (er, I mean the Electoral College), you would have the multiple parties of proportional representation without the instability of having to form a coalition government.
It's actually news for nerds!
I programmed Hypercard a lot in middle/high school in the mid 80s. I got to college and was taking an AI course using Lisp, and was working on a reinforcement learning assignment. I had a bug in my program I couldn't track down. The smartest guy in the class sat next to me and he couldn't figure out the bug. Neither of the two TAs for the class could figure out the bug. I rewrote it from scratch and still had the bug. At one point I said "If I was working in Hypercard, I know how I could solve this." The smartest guy in the class said "That's crazy." The TA who was helping me out said "When you're ready to talk seriously about this I'll come back and help you." I went home that night a wrote it in Hypercard and it worked. Slow as all hell (it took 24 hours for one test run), but it worked. It was easy to make nice graphics of the mouse and the maze the assignment was about, which went into the final report. I got 110/A+ on the assignment.
If the theoretical simulations are correct (these would be the theoretical simulations based on a small number of observations and a lot of conjecture about the underlying forces at work), then the vast majority of planets are homeless. But of course, the headline and the summary state it as a fact.
Let's say you had an alternative statistical method for judging treatments during a crisis situation like Ebola. It's not out of the question. All sorts of statistical methods have been developed for situations where you can't get the number and type of observations you want. Now think about applying that method where the Ebola crisis is happening. You think the data collection is going to be any better than the health care? It's going to be worse. I spent ten years working with data from emergency rooms in the U.S. It's got lots of problems. Of course it does, the doctors are more concerned about healing the patients than they are about collecting data. Which is the way things should be. You think the doctors in Africa dealing with Ebola right now have the time or training to deal with the data collection?
We just hate PayPal.
Scientists find a clue as to why the chicken crossed the road.
When they make an actual smart watch, as opposed to a phone-accessory-worn-on-the-wrist, I may buy one. To me, a smart watch would be a computerized watch that does time things far better than a classic watch. I haven't seen one of those yet.
I used to be you, almost exactly. Almost everything we do at work is in SAS, and I was pushing hard for R and Python and getting nowhere. I hated SAS because it was so clunky and out of date. So many SAS programs are bad because they're being done by statisticians with no programming background. Then I went to NESUG a few years ago and saw presentations by the likes of Whitlock, Dorfman, and others, and realized serious programming *was* being done in SAS. I resolved to just become the best SAS programmer I could. The first thing you need to do is stop programming Python in SAS. SAS is like Lisp in that it is a different paradigm, and not programming in that paradigm only makes things harder. Learn that paradigm. Learn the data step inside and out. Every time you have a %do loop, ask yourself if you can do it in a data step. Every time you wish you had OOP, ask yourself if you could represent the objects in a data set. Or learn the new ds2 data step that has OOP. Learn proc sql and know when it's better to use than a data step. That's what I did, and it took my SAS programming to a whole new level, and allowed me to innovate legacy code and transform the applications we were using. Because back when I was you, SAS wasn't the obstacle to innovation, I was.
Does the NSA have information on all the kickbacks Congress is getting?
Radhakrishnan, is it?