Exemplos de uso de Your algorithm em Inglês e suas traduções para o Português
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Your algorithm.
I saw your"algorithm.
Your algorithms?
How's your algorithm?
Tell Miss Smoak about your algorithm.
So far, your algorithm has turned up jack.
I rewrote half your algorithms.
I suppose your algorithm predicts that you are destined.
I rewrote half your algorithms.
Mate, your algorithms reinvented Aster Corps' entire customer-facing business.
Do one of your algorithms.
In addition the SD card input allows you to save your algorithms.
Now, about your algorithm.
The product isn't the platform, and the product isn't your algorithm.
You develop your algorithm every day.
Their experiences will make them unique,but… their baseline is all your algorithm, you.
That was before your algorithm went down the toilet.
We don't want to keep you from your algorithms, kid.
Otherwise, your algorithm is never gonna terminate.
The dial located next to the display allows you to find your algorithm by name for added convenience.
That data and your algorithm allow you to reverse the decomposition?
The top right part is where you draw your graphs, andthe bottom right one is where you create your algorithms.
Colocation for your algorithms and servers in our network.
And I truly wish there were time here for a more appropriate and meaningful reunion, but right now,I have to try to explain as best I can why we need your algorithm.
Believe it or not, your algorithm is the only way to make Nucleus work.
If you start working in the project at the very beginning and you start developing some algorithm along the way, then when the conceptual design phase is over,you have everything parameterized, you already have your algorithm, so from them on you can automate the whole process.
At 5,200 gigaflops, your algorithm flies 800 times faster on GPUs compared to normal CPUs.
Studying my player history,ran it through your algorithm, saw that I was playing way above my mean.
Say f(n) is your algorithm runtime, and g(n)is an arbitrary time complexity you are trying to relate to your algorithm.
Know the behaviour of your algorithm on a math scale, and know if you are automating the interpretation of this, or if you are transforming data into predictive residuals and using them.