developing a methodology to search for something is usually considered publishable research in and of itself. (if said methodology is genuinely unique) the results (be they positive or negative) are often presented in a follow-up paper.
a bias wouldn't matter. simply use it as a seed into a fully generative cyclical group with a flat output distribution. (for example, any good hash function)
In addition to better performance, this technology shift also increases font quality and readability with sub-pixel positioning:
they say "sub-pixel positioning", but the example shows aliased vs. anti-aliased font rendering.... *really*? that's their "closing the gap w/ rivals" strategy? WOW.
math and computer science exercise very similar critical thinking and problem solving skills. not to mention, once you're beyond for loops and object inheritance, *many* areas of computer science boil down to applied mathematics. granted, it's more from discrete math, abstract algebra or diffeq, but you have to learn to walk before you can learn to run.
Oh, and you'll find the commercial world is vastly less impressed by a PhD then you think. Skills are all that matter. A PhD is like a shortwave radio - only other people with a shortwave care, and everyone else thinks you're a little nuts:)
depends on the sector. writing webapps for fedex? yeah, they don't care. developing an entity recogniser for a question-answering system? or an automated arabic/english translator? or a voice or image recognition algorithm? it starts to be important.;)
for the record, i don't have mine yet. and i worked for nearly a decade in the corporate and/or DoD space before i even contemplated grad school. (and very glad i did)
what pipe are you smoking? there was nothing on the market in 1998 even remotely close to being able to handle was google's crawlers and indexers needed.
also, to think google was ignorant of the history of distributed file research is mind-boggling. as you said, it's standard fair in any graduate level CS program. for my school, it was a required course for even the masters.
the beauty of gfs was that it knew *which* constraints in which theories they needed to design for, and which they could simplify for performance reasons. they purposely relaxed what traditionally constitutes a file system to achieve an order of magnitude more scalability than anyone had previously ever been able to achieve.
also, google almost single-handedly made it OK to be a phd in the commercial sector again. (for which i'm eternally grateful) and i would be willing to be they have the world's highest percent-grad-education in their workforce.
why not use floats for your left/right values, allowing you to partition your space without requiring the rewrite of all left/right values downwind of your insert?
my parents did the same thing, but i wish they hadn't. at 14 (when your grades really started to count) doing all the BS busy-work homework schools shove at you was much less interesting than the girls sitting around me, or the p.t. job that paid me.
that's funny. my math grades would usually go up. (vector calc and diffeq, most notably) i used to intentionally deprive myself of sleep before major exams.
you learn on the job or through self study everything you'd learn in the masters courses.
3 years ago i would have agreed with you, but then i paused my decade-long programming career to start my masters/phd. and i have to tell you, it's a misconception that couldn't be more wrong. the theory-side of CS i have learned (just from my master's classes no less) puts to shame the programmer i was at the end of my last full-time gig.
btw, you ever met a guy w/ a mail order bride? it's funny in the abstract, but in person it's creepy as hell. at a LUG i used to be a part of, we used to have someone come occasionally with his, like he was showing off a new car. dude was ~15 years her senior. weird doesn't even begin to cover it.
developing a methodology to search for something is usually considered publishable research in and of itself. (if said methodology is genuinely unique) the results (be they positive or negative) are often presented in a follow-up paper.
you joke, but if you had read the article, you would have known that this is exactly what they think it might have meant. =P
a bias wouldn't matter. simply use it as a seed into a fully generative cyclical group with a flat output distribution. (for example, any good hash function)
crashes chrome on linux HARD...
that would be the JMP instruction. =P
In addition to better performance, this technology shift also increases font quality and readability with sub-pixel positioning:
they say "sub-pixel positioning", but the example shows aliased vs. anti-aliased font rendering.... *really*? that's their "closing the gap w/ rivals" strategy? WOW.
math and computer science exercise very similar critical thinking and problem solving skills. not to mention, once you're beyond for loops and object inheritance, *many* areas of computer science boil down to applied mathematics. granted, it's more from discrete math, abstract algebra or diffeq, but you have to learn to walk before you can learn to run.
in college we used to call "ackee" "icky", after an incident where a friend cooked it for a group of us. =P
where can you buy an iphone 3gs for $100? here in the states it costs $100 + $70/month*24 months = $1780
i second this interpretation. =P
Since the main selling point of the Pre was unauthorized iTunes sync. Serves them right.
says who? trust me, the software the phone runs is the "main selling point". i've never even used the itunes syncing feature.
Oh, and you'll find the commercial world is vastly less impressed by a PhD then you think. Skills are all that matter. A PhD is like a shortwave radio - only other people with a shortwave care, and everyone else thinks you're a little nuts :)
depends on the sector. writing webapps for fedex? yeah, they don't care. developing an entity recogniser for a question-answering system? or an automated arabic/english translator? or a voice or image recognition algorithm? it starts to be important. ;)
for the record, i don't have mine yet. and i worked for nearly a decade in the corporate and/or DoD space before i even contemplated grad school. (and very glad i did)
what pipe are you smoking? there was nothing on the market in 1998 even remotely close to being able to handle was google's crawlers and indexers needed.
also, to think google was ignorant of the history of distributed file research is mind-boggling. as you said, it's standard fair in any graduate level CS program. for my school, it was a required course for even the masters.
the beauty of gfs was that it knew *which* constraints in which theories they needed to design for, and which they could simplify for performance reasons. they purposely relaxed what traditionally constitutes a file system to achieve an order of magnitude more scalability than anyone had previously ever been able to achieve.
also, google almost single-handedly made it OK to be a phd in the commercial sector again. (for which i'm eternally grateful) and i would be willing to be they have the world's highest percent-grad-education in their workforce.
http://www.google.com/search?q=quake
i don't see any porn....
why not use floats for your left/right values, allowing you to partition your space without requiring the rewrite of all left/right values downwind of your insert?
of course, people often forget *why* the war started 30-40 years ago: forced desegregation
living on curry and cheap lager.
since she was 8? =P
my parents did the same thing, but i wish they hadn't. at 14 (when your grades really started to count) doing all the BS busy-work homework schools shove at you was much less interesting than the girls sitting around me, or the p.t. job that paid me.
that's funny. my math grades would usually go up. (vector calc and diffeq, most notably) i used to intentionally deprive myself of sleep before major exams.
i would have tried non-negative matrix factorization personally.
you learn on the job or through self study everything you'd learn in the masters courses.
3 years ago i would have agreed with you, but then i paused my decade-long programming career to start my masters/phd. and i have to tell you, it's a misconception that couldn't be more wrong. the theory-side of CS i have learned (just from my master's classes no less) puts to shame the programmer i was at the end of my last full-time gig.
i second this, and add that it remains true even after you get married. =p
it's a model rocket because it's a 1/10th scale replica of the saturn V.
=P
btw, you ever met a guy w/ a mail order bride? it's funny in the abstract, but in person it's creepy as hell. at a LUG i used to be a part of, we used to have someone come occasionally with his, like he was showing off a new car. dude was ~15 years her senior. weird doesn't even begin to cover it.
that's not necessarily a bad thing. my wife is quite happy i don't have a girlfriend. =P