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Listen to native speakers pronounce “quantification” in real conversational contexts with synchronized timestamps and subtitles.
It's a model in this picture.The quantification of the proportional harmony of those buildings derived from that use of geometry, which
The quantification of the proportional harmony of those buildings derived from that use of geometry, which
Accurate quantification is important if you want to compare across samples.
Because that is a quantification.
So all that quantification was achieved through Euclidean geometry tools, whereas the arithmetic number-based tools
Got to have quantification.
And he's a self quantification guy.
Today, there's a quantification of people.
And we did a lot of work to unravel the uncertainty quantification of the pandemic models.
I'm just wondering what's your view on the quantification and measurement of other sleep stats all the watches we have, et cetera.
So the Worry Index is really a very loose quantification.
And we are particularly at the mercy of tools of quantification, because we have to measure a building before it is built,
The story I've told you is how quantification shifted from algebra to calculus,
And also if there are insights that you already know, sometimes the quantification of those insights and ranking
So all of these things are indicators, which we then start quantifying and putting this quantification of how
So throughout the book, you seem to have this resistance to quantification.
And so, one can assign quantification of that, like are we moving towards a trend of other things being considered like, rayified,
They need to be credible, high fidelity simulations so they also need to be endowed with reliability and what we would refer to as uncertainty quantification that
And there's a step in what we call the set of things like to check on the reliability of your methods, uncertainty quantification, validation,
Why presenting it as these all people breaking up with, how do you say, self quantification model and so on?
And evidently, if you look at Roman or Greek architecture, you can glean, from the way the buildings are built, the kind of tools of quantification
That's a really simple example, but there is a lot of other biases in these experiments that need to be accounted for, for accurate quantification.
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