Data Quotes - Page 17

My study is NOT as a climatologist, but from a completely different perspective in which I am an expert … For decades, as a professional experimental test engineer, I have analyzed experimental data and watched others massage and present data. I became a cynic; My conclusion - 'if someone is aggressively selling a technical product who's merits are dependent on complex experimental data, he is likely lying'. That is true whether the product is an airplane or a Carbon Credit.

Get the weirdnesses into the data where you can manipulate them easily, and the regularity into the code because regular code is a lot easier to work with

A data structure is just a stupid programming language.

Extreme views are never just; something always turns up which disturbs the calculations formed upon their data.

Cats vary so widely that all data is meaningless and the professional classifiers gnash their teeth trying to come up with even a single fact common to all.

A brainscan cannot interpret itself and neither can a data dashboard in education.

...the Climate Research Unit of the University of East Anglia apparently cherry-picked Russian climate data.

The changes are coming so quickly it's been difficult for workers to retrain themselves and for entrepreneurs to figure out where the next opportunities may be. The catalyst is something called computer learning or artificial intelligence - the ability to feed massive amounts of data into supercomputers and program them to teach themselves and improve their performance.

The supreme goal of all theory is to make the irreducible basic elements as simple and as few as possible without having to surrender the adequate representation of a simple datum of experience.

If you consider any set of data without a preconceived viewpoint, then a viewpoint will emerge from the data.

The essential function of the (design) profession in our society is to enhance and cultivate communications toward: Easier understanding of ideas and complex problems, in the shortest possible time and higher visual and auditory retention of data.

Thought, without the data on which to structure that thought, leads nowhere.

The argument from design stands or falls on whether it can be demonstrated that some aspect of the universe such as its origin or biological life could not have come about naturally. The burden of proof is ... on the supernaturalist to demonstrate that something from outside nature must be introduced to explain the data.

Over the next ten years, everything that has a cord is going to have data in it.

Data by itself is not useful. Data is only useful if it can be applied for public benefit.

Data is the next Intel Inside.

There's a mountain of information about us. I mean there's so much. Anyway, I'm not an intelligence person. But I just look at it and it's a mountain of data.

If you are looking at data over and over you better be taking away valuable insight every time. If you are constantly looking at data that isn't leading to strategic action stop wasting your time and look for more Actionable Analytics.

If you intend to study the mind, you must have systematic training; you must practice to bring the mind under your control, to attain to that consciousness from which you will be able to study the mind and remain unmoved by any of its wild gyrations. Otherwise the facts observed will not be reliable; they will not apply to all people and therefore will not be truly facts or data at all.

One common behavior of late Stage 3 [in the process of a company's decline] is when those in power blame other people or external factors- or otherwise explain away the data- rather than confront the frightening reality that the enterprise may be in serious trouble.

Technology and the Internet have created a new set of relationships. It's changed the social fabric of promotion: advertising, dating. Part of art world judgment, part of it, is based on people's statistics; their measure of financial value: of likes, of popularity. Data and technology are invading the traditional and classic set of criteria.

The data set of proxies of past climate used in Mann...for the estimation of temperature from 1400 to 1980 contains collation errors, unjustifiable truncation or extrapolation of source data, obsolete data, geographical location errors, incorrect calculation of principal components and other quality control defects.

Seriously, we are in the midst of the convergence of voice and data and that is challenging the infrastructure of the telephone companies. There are huge commercial interests in the basic technology, but even more so in content delivery and control of content.

Historical science is not worse, more restricted, or less capable of achieving firm conclusions because experiment, prediction, and subsumption under invariant laws of nature do not represent its usual working methods. The sciences of history use a different mode of explanation, rooted in the comparative and observational richness in our data. We cannot see a past event directly, but science is usually based on inference, not unvarnished observation (you don't see electrons, gravity, or black holes either).

Paleontologists [fossil experts] have paid an exorbitant price for Darwin's argument. We fancy ourselves as the only true students of life's history, yet to preserve our favored account of evolution by natural selection we view our data as so bad that we almost never see the very process we profess to study.