Predict
in sentence
1013 examples of Predict in a sentence
And they looked at just people's Facebook likes, so just the things you like on Facebook, and used that to
predict
all these attributes, along with some other ones.
We know how to
predict
all that.
By liking that Facebook page, or by sharing this piece of personal information, you've now improved my ability to
predict
whether or not you're using drugs or whether or not you get along well in the workplace.
One of the problems that people bring up when I talk about this is, they say, you know, if people start keeping all this data private, all those methods that you've been developing to
predict
their traits are going to fail.
Now, given the sorts of challenges I'm up against, it's crucial that I not only
predict
but also design protections for the unexpected.
I used magnetic resonance imaging to capture the actual shape of the patient's anatomy, then use finite element modeling to better
predict
the internal stresses and strains on the normal forces, and then create a prosthetic socket for manufacture.
This included software algorithms to
predict
what DNA to build, chemistry to link the G, A, T and C building blocks of DNA into short pieces, Gibson Assembly to stitch together those short pieces into much longer ones, and biology to convert the DNA into other biological entities, such as proteins.
I don't know if that's true for other people, but that notion of thinking about how we can understand the future and
predict
outcomes, for me, it's terrifying to not know what might be coming.
And in a tightly coupled world, that's very hard to
predict.
Just the number of devices you have can be used to
predict
how rich or poor you are.
We discovered that females use male flash signals to try to
predict
which males have the biggest gifts to offer, because this bling helps the female lay more eggs and ultimately launch more of her own offspring into the next generation.
We asked half of them to
predict
for us how much their values would change in the next 10 years, and the others to tell us how much their values had changed in the last 10 years.
And what we find, well, you've seen it twice now, and here it is again: people
predict
that the friend they have now is the friend they'll have in 10 years, the vacation they most enjoy now is the one they'll enjoy in 10 years, and yet, people who are 10 years older all say, "Eh, you know, that's really changed."
Now we asked people to
predict
for us, to tell us how much money they would pay right now to see their current favorite musician perform in concert 10 years from now, and on average, people said they would pay 129 dollars for that ticket.
Deep learning is a technology that can take a huge amount of data within one single domain and learn to
predict
or decide at superhuman accuracy.
People actually tried to
predict
the future, even the economists.
Even with market, which is about chance, randomness, we think we can
predict
rationally where it's going.
I can
predict
certain behaviors by understanding how it operates, but I can't control it.
This swarm of objects you see streaming across the sky are asteroids as they orbit our sun, and it's these changes and the motion and it's the dynamics of the system that allow us to build our models for our universe, to
predict
its future and to explain its past.
So studying the forensics of our solar system doesn't just tell us about the past, it can also
predict
the future, including our future.
Maybe, if we aggregated the data, maybe we could identify telltale signs that best
predict
that a car accident is going to take place in the next five seconds.
Researchers recently have looked at the question of biopsies, cancerous biopsies, and they've asked the computer to identify by looking at the data and survival rates to determine whether cells are actually cancerous or not, and sure enough, when you throw the data at it, through a machine-learning algorithm, the machine was able to identify the 12 telltale signs that best
predict
that this biopsy of the breast cancer cells are indeed cancerous.
We may have algorithms that are likely to
predict
what we are about to do, and we may be held accountable before we've actually acted.
So let me say that the balance between returns on capital and growth depends on many different factors that are very difficult to predict: technology and the development of capital-intensive techniques.
Some cops are able to
predict
criminal violence before it even happens.
Did you know that between one and two percent of street addresses in any fragile city can
predict
up to 99 percent of violent crime?
Now just by using these very simple ideas, Gottman and his group were able to
predict
whether a given couple was going to get divorced with a 90 percent accuracy.
So these equations
predict
how the wife or husband is going to respond in their next turn of the conversation, how positive or negative they're going to be.
Instead they process images, traffic data, collected from a small number of low-resolution webcams in Nairobi streets, and then they use analytic software to
predict
congestion points, and they can SMS drivers alternate routes to take.
So what I need to say is that no Turing machine, no computer can
predict
what a brain net will do.
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