Caroline Alexander famous quotes

Each pattern describes a problem which occurs over and over again in our environment, and then describes the core of the solution to that problem, in such a way that you can use this solution a million times over, without ever doing it in the same way twice.
-- Caroline Alexander

#Learning #Patterns #Way

The passion for exploration and discovery, the hunger to learn all things about all aspects of the physical world, the great and preposterous optimism that held that such truths were in fact discoverable, its dazzling sophistication and its occasional startling innocence; an age in which geographical and scientific discoveries surpassed anything previously dreamt of, and yet an age in which it was still, just barely, possible to believe in mermaids and unicorns - these remarkable traits so characterized the British 18th century
-- Caroline Alexander

#Believe #Passion #Discovery

Learning is not attained by chance, it must be sought for with ardor and diligence.

True, a little learning is a dangerous thing, but it still beats total ignorance.

You will either step forward into growth or you will step back into safety.

We all learn by imitating, as children, as students, as novices in the world of business. And then we grow up and learn to blend our innate abilities with the rules or principles we have learned.

Drill your soldiers well, and give them a pattern yourself.

Art is the imposing of a pattern on experience, and our aesthetic enjoyment is recognition of the pattern.

Art is the imposing of a pattern on experience...

I am officially Jewish, but I’m Jewish in the same way the Olive Garden is an Italian restaurant.

I'm not an athiest. How can you not believe in something that doesn't exist? That's way too convoluted for me.

It is time, therefore, to abandon the superstition that natural science cannot be regarded as logically respectable until philosophers have solved the problem of induction. The problem of induction is, roughly speaking, the problem of finding a way to prove that certain empirical generalizations which are derived from past experience will hold good also in the future.