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Learning in sentence

2412 examples of Learning in a sentence

So one weekend I'd be learning how to fold dumplings, and the next, I'd be traditional-style dancing at a powwow, immersed in the powerful sounds of drums and singers.
The second insight was learning about this Housing First, or low-barrier housing.
What she worked on most, she said, was inculcating in them habits of thinking and of learning so that they could make their way in the world without her when they were done.
I'd entered practice in 2003, and for the first several years, it was just this steady, upward improvement in my learning curve.
We have to do away with this rote learning.
Chris Anderson: Help us understand what machine learning is, because that seems to be the key driver of so much of the excitement and also of the concern around artificial intelligence.
How does machine learning work?
Sebastian Thrun: So, artificial intelligence and machine learning is about 60 years old and has not had a great day in its past until recently.
We have used this thing called deep learning to train a car to drive itself, and this is driving from Mountain View, California, to San Francisco on El Camino Real on a rainy day, with bicyclists and pedestrians and 133 traffic lights.
CA: And so, you've also got an example, I think, of how the actual learning part takes place.
And we ran a competition and said, "It's a deep learning competition, AI competition," and we gave the students 48 hours.
It drives better than I could drive on this imagery, using deep learning.
What you see here is the machine learning version of it.
"Neural networks" is the technical term for these machine learning algorithms.
So I think this might be the first time that we actually found, in the practice of using deep learning, an actual person whose melanoma would have gone unclassified, had it not been for deep learning.
CA: And do I hear this right, that it seemed like what you were saying, because you are working with this army of Udacity students, that in a way, you're applying a different form of machine learning than might take place in a company, which is you're combining machine learning with a form of crowd wisdom.
But these students have been able to produce amazing deep learning results.
So yeah, the synthesis of great people and great machine learning is amazing.
And what machine learning is is a rewriting of the rules.
What am I supposed to do with a kid like D? And how am I going to stop him from impeding the learning of all the other students?
And those difficult home experiences created real barbed-wire barriers to learning, and we had to figure out a way over it.
We're learning about our food for the first time ever.
What particular experiences are associated with growing up in poverty and might be able to be targeted to promote brain development and learning outcomes for kids?
In my laboratory, we're particularly focused on a few types of experiences that we believe may be able to be targeted to promote children's brain development and ultimately improve their learning outcomes.
They had rotations for who watched whose kids when, for saving extra cash, for throwing belly dance parties and memorizing Koran and learning English.
Our school systems are very flawed and do not reward you for the things that are important in life or for the survival of civilization; they reward you for a lot of learning and sopping up stuff.
We should have nothing but success stories from nature, for you or for birds, and we're learning a lot from its fascinating subjects.
Furthermore, when you couple the skin conductance at the top with the movement from the wrist and you get lots of data and train machine learning and AI on it, you can build an automated AI that detects these patterns much better than just a shake detector can do.
So we had started with work on stress, which had enabled us to build lots of sensors that were gathering high quality enough data that we could leave the lab and start to get this in the wild; accidentally found a whopper of a response with the seizure, neurological activation that can cause a much bigger response than traditional stressors; lots of partnership with hospitals and an epilepsy monitoring unit, especially Children's Hospital Boston and the Brigham; and machine learning and AI on top of this to take and collect lots more data in service of trying to understand these events and if we could prevent SUDEP.
This is now commercialized by Empatica, a start-up that I had the privilege to cofound, and the team there has done an amazing job improving the technology to make a very beautiful sensor that not only tells time and does steps and sleep and all that good stuff, but this is running real-time AI and machine learning to detect generalized tonic-clonic seizures and send an alert for help if I were to have a seizure and lose consciousness.
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