By the data to date, there is only one animal in the Galaxy dangerous to man -- man himself. So he must supply his own indispensable competition. He has no enemy to help him.
Big Data will spell the death of customer segmentation and force the marketer to understand each customer as an individual within eighteen months, or risk being left in the dust.
Big data will never give you big ideas... Big data doesn't facilitate big leaps of the imagination. It will never conjure up a PC revolution or any kind of paradigm shift. And while it might tell you what to aim for, it can't tell you how to get there
Data, I think, is one of the most powerful mechanisms for telling stories. I take a huge pile of data and I try to get it to tell stories.
The United States will continue its efforts to improve our understanding of climate change - to seek hard data, accurate models, and new ways to improve the science - and determine how best to meet these tremendous challenges.
Euclid 's manner of exposition, progressing relentlessly from the data to the unknown and from the hypothesis to the conclusion, is perfect for checking the argument in detail but far from being perfect for making understandable the main line of the argument.
Knowledge about limitations of your data collection process affects what inferences you can draw from the data.
For the theory-practice iteration to work, the scientist must be, as it were, mentally ambidextrous; fascinated equally on the one hand by possible meanings, theories, and tentative models to be induced from data and the practical reality of the real world, and on the other with the factual implications deducible from tentative theories, models and hypotheses.
Belief is what you do when there is no data.
The Noisiest buzz in the industry lately has been over the emerging use of cable TV systems to provide fast network data transmissions using a device called a cable modem. But the likelihood of this technology succeeding is zilch.
The data that can bear on the confirmation of perceptual hypotheses includes, in the general case, considerably less than the organism may know.
Suppose that the organism is given the problem of determining the analysis of a stimulus at a certain level of representation - e.g., the problem of determining which sequence of words a given utterance encodes. Since, in the general case, transducer outputs underdetermine perceptual analyses, we can think of the solution of such problems as involving processes of nondemonstrative inference. In particular, we can think of each input system as a computational mechanism which projects and confirms a certain class of hyputheses on the basis of a certain body of data.
The term "informatics" was first defined by Saul Gorn of University of Pennsylvania in 1983 (Gorn, 1983) as computer science plus information science used in conjunction with the name of a discipline such as business administration or biology. It denotes an application of computer science and information science to the management and processing of data, information and knowledge in the named discipline.
If you want data to survive, carve it in rock.
Philosophy, like science, consists of theories or insights arrived at as a result of systemic reflection or reasoning in regard to the data of experience. It involves, therefore, the analysis of experience and the synthesis of the results of analysis into a comprehensive or unitary conception. Philosophy seeks a totality and harmony of reasoned insight into the nature and meaning of all the principal aspects of reality.
You don't have to give us your name and we don't ask for your email address. We don't know your birthday. We don't know your home address. We don't know where you work. We don't know your likes, what you search for on the internet or collect your GPS location. None of that data has ever been collected and stored by WhatsApp, and we really have no plans to change that.
The data stream has been corrupted, return to first principles.
Theories come and go, but fundamental data always remains.
My interest is not data, it's the world. And part of world development you can see in numbers. Others, like human rights, empowerment of women, it's very difficult to measure in numbers.
Steven Tepper's Not Here, Not Now, Not That! offers invaluable insights into how social change and uncertainty drive protests over art. With fresh data and perspectives, Tepper makes a compelling case that cultural conflicts are largely homegrown, tied to each community's shifting demographics and values. It's an eye-opening work.
We apply fight-or-flight reflexes not only to predators, but to data itself.
I have a computer screen near my seat where I monitor the overall health of the vehicle and pick up any problems that might be occurring early on or once we see any kind of a malfunction or anything unusual that's happening, we can look at the data and figure out what that is.
We've had such thorough training, we've had an excellent team on the ground. With the minor glitches that have occurred, we've been able to take care of them. And the teams on the ground are getting tons of incredible data.
We are not at the same place we were in 1973. This country today is drifting, moving steadily towards the pro-life position because the data is with us.
... no compelling data to support its anachronistic social Darwinism.
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