Examples of using To recognize patterns in English and their translations into Japanese
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Colloquial
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Ecclesiastic
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Computer
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Programming
Ability to recognize patterns.
Humans are born with the ability to recognize patterns.
These systems can be taught to recognize patterns related to money laundering and other illicit transactions.
One of the most remarkableaspects of the human brain is its ability to recognize patterns and describe them.
The software learns, in a very real sense, to recognize patterns in digital representations of sounds, images, and other data.
Maybe we're less responsive to peripheral movement now,but we are going to evolve our ability to recognize patterns.
We also use algorithms to recognize patterns in data.
Learn to recognize patterns, as you progress you will begin to notice the opportunityto set up combinations by removing candies in a consistent pattern. .
Regular, honest self critiques provide an opportunity to recognize patterns of pessimism and compare expectations with results.
The ability to recognize patterns and generalize from experience,to predict what's likely to happen in the future- in short, the ability to imagine- is something humans do far better than any other animals.
But the company saysit's now using artificial intelligence(AI) to recognize patterns based on posts that have previously been associated with suicide.
The capability to recognize patterns and generalize from experience,to predict what's very likely to occur later on in summary, the capacity to imagine is something humans do far superior than every other animals.
Then, Watson“will learn the driver's preferences,apply machine learning and sift through data to recognize patterns in their decisions and habits.
From real-world data, computers can learn to recognize patterns too complex, too massive or too subtle for hand-crafted software or even humans.
The ability to understand language, to recognize patterns and to be able to learn from information can help companies address more meaningful and complex challenges.
Then after measuring brain signals,scientists have developed personalized machine-learning models to recognize patterns of oxygenated hemoglobin levels related to pain responses.
This new model-where deep neural networks are trained to recognize patterns from massive amounts of data- has proven to be“unreasonably” effective at solving some of the most complex problems in computer science.
Owing to the continuing and widespread adoption of IT here on Earth, a wide range of devices are now linked to the internet. This produces a large amount of data,and by analyzing this it is now possible to recognize patterns and changes that previously could not be seen.
These statistical measures may then be sent to a user andanalyzed to recognize patterns suggesting the future occurrence of a known abnormal situation.
These statistical measures may then sent to a user interface or other processing device andanalyzed to recognize patterns suggesting the actual or future occurrence of a known abnormal situation.
Artificial intelligence is made to recognize human patterns and react accordingly.
For example, on the Nepal border,organizations are using Uptake's data analytics to recognize human-trafficking patterns and intervene earlier.
Qualitative data mining refers to the recognition of graphical indicators to recognize chart patterns and make a sentiment prediction on market timing.
Gliders conduct underwater scanning and supply information to the DeepWater Neural Network,which learns to recognize underwater patterns.
These skills of being able to quickly recognize patterns, generalize from prior knowledge, and adapt to different image environments are ones that we do not share with our fellow machines.