Categorization Of Data Quotes & Sayings
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Either we have an immortal soul, or we have not. If we have not, we are beasts,
the first and the wisest of beasts, it may be, but still true beasts. We shall only differ in degree and not in kind,
just as the elephant differs from the slug. But by the concession of the materialists of all the schools, or almost all, we are not of the same kind as beasts, and this also we say from our own consciousness. Therefore, methinks, it must be the possession of the soul within us that makes the difference. — Samuel Taylor Coleridge

For too many years, politicians in Washington have been eager to pledge more hard-earned taxpayer dollars to help deal with the student debt load. But this doesn't sit right with the many Americans who take pride in making fiscally responsible choices and paying off their loans on time. — John Kline

Of journeying the benefits are many: the freshness it bringeth to the heart, the seeing and hearing of marvelous things, the delight of beholding new cities, the meeting of unknown friends, and the learning of high manners. — Saadi

There is an Italian proverb which saith, From my enemy let me defend myself; but from a pretensed friend Lord deliver me — Elizabeth I

Nothing in this world is useless in the eyes of God. — Paulo Coelho

If I have a pocket, then I'll have lip balm, my keys, and $10 cash. — Debra Messing

It's good to test yourself and develop your talents and ambitions as fully as you can and achieve greater success; but I think success is the feeling you get from a job well done, and the key thing is to do the work. — Peter Thiel

What I think is coming instead are much more organic ways of organizing information than our current categorization schemes allow, based on two units - the link, which can point to anything, and the tag, which is a way of attaching labels to links. The strategy of tagging - free-form labeling, without regard to categorical constraints - seems like a recipe for disaster, but as the Web has shown us, you can extract a surprising amount of value from big messy data sets. — Clay Shirky