The programmer's primary weapon in the never-ending battle against slow system is to change the intramodular structure. Our first response should be to reorganize the modules' data structures.
Only by being suspended aloft, by dangling my mind in the heavens and mingling my rare thought with the ethereal air, could I ever achieve strict scientific accuracy in my survey of the vast empyrean. Had I pursued my inquiries from down there on the ground, my data would be worthless. The earth, you see, pulls down the delicate essence of thought to its own gross level.
In war there are none but particular cases; everything has there an individual nature; nothing ever repeats itself. In the first place, the data of a military problem are but seldom certain; they are never final . Everything is in a constant state of change and reshaping.
The rebel is committed to giving a form and pattern to the world. It is a pattern born of the indomitable thrust of the human mind, the mind which makes out of the mass of meaningless data in the world an order and a form.
Certainty, not data, is knowledge.
Unlike the position that exists in the physical sciences, in economics and other disciplines that deal with essentially complex phenomena, the aspects of the events to be accounted for about which we can get quantitative data are necessarily limited and may not include the important ones.
The so-called co-efficient of heritability, which I regard as one of those unfortunate short-cuts, which have often emerged in biometry for lack of a more thorough analysis of the data.
We have an expression in New York City government - "In God we trust, but for everyone else, bring data." It's so easy to pick up a sound byte and say, "Oh, yeah, yeah, I believe that," without really thinking.
One of my heroes, almost necessarily from what I'm saying, of course, is Borges, who is a supreme master of doing thing -- being a data bank -- and the beauty of this economy is that he could have written War and Peace in three or four pages; who knows, it might have been a better book.
as an economics professor I am by nature inclined to the view that the truth isn't out there, it's in here - that usually you learn a lot more by thinking really hard about the data than you do by sniffing around for supposedly inside information.
The cloud is driven by statistics, and even in the worst individual cases of personal ignorance, dullness, idleness, or irrelevance, every person is constantly feeding data into the cloud these days. The value of such information could be treated as genuine, but it is not. Instead, the blindness of our standards of accounting to all that value is gradually breaking capitalism.
There will always be humans, lots of them, who provide the data that makes the networked realization of any technology better and cheaper.
Ever since Sir Isaac Newton's times, scientists have worked in the same sort of way: They show a great respect for experiment and observation, They don't cherry pick data, They take a skeptical approach to what they do. And then scientists work together to get a consensus as to what should be believed And that generates very reliable knowledge and that reliable knowledge drives innovation
The same past data can confirm a theory and its exact opposite! If you survive until tomorrow, it could mean that either a) you are more likely to be immortal or b) that you are closer to death.
It is now very clear that techniques of machine-human interfacing, pharmacology of the synthetic variety, all kinds of manipulative techniques, all kinds of data storage, imaging and retrieval techniques - all of this is coalescing toward the potential of a truly demonic or angelic kind of self-imaging of our culture... And the people who are on the demonic side are fully aware of this and hurrying full-tilt forward with their plans to capture everyone as a 100% believing consumer inside some kind of a beige furnished fascism that won't even raise a ripple.
Thinklogical's systems play a key role in the delivery and visualization of mission critical data used every day by military and intelligence communities worldwide.
It's been said that if NASA wanted to go to the moon again, it would have to start from scratch, having lost not the data, but the human expertise that took it there the last time.
Big data is indeed a buzzword but it is one that is frankly under-hyped.
The future of marketing belongs to honest information, accurate data and clear claims based on truth.
Good communication is not just data transfer. You need to show people something that addresses their anxieties, that accepts their anger, that is credible in a very gut-level sense, and that evokes faith in the vision.
At root what is needed for scientific inquiry is just receptivity to data, skill in reasoning, and yearning for truth. Admittedly, ingenuity can help too.
Most managers receive much more data (if not information) than they can possibly absorb even if they spend all of their time trying to do so. Hence they already suffer from an information overload.
I don't think anyone can answer whether the Fed is going to have to tighten beyond neutral, ... You have to be looking at the economy going forward and that changes as additional data comes in.
What's needed now are software technologies that interconnect computing systems, people and data to produce more rapid answers to the questions of science, and to help researchers use computation in the most effective manner.
I believe that it's fine if the university wants to regulate, for example, bandwidth access, but they should treat the students data as private data.
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