Примери за използване на A machine learning на Английски и техните преводи на Български
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(2010) used the Galaxy Zoo classifications to train a machine learning model to do galaxy classification.
They developed a machine learning algorithm to discover the relationship between people's age and brain metabolism.
One does not need to be a mathematician to determine if a machine learning product is adding value;
Amazon Macie- a machine learning tool to assist the discovery and security of personal data stored on Amazon S3.
Ticketmaster turned to AI to rewrite the rules using a machine learning system called Verified Fan.
Хората също превеждат
Amazon Macie- a machine learning tool to assist discovery and classification of personal data stored in Amazon S3.
(2010) used the Galaxy Zoo classifications to train a machine learning model to do galaxy classification.
NET is a machine learning framework that is used in a large number of Microsoft products like XBox, Azure, and Microsoft Office.
Then, for a subset of the images, the Galaxy Zoo labels are used to train a machine learning model.
According to them, the company has developed a machine learning system that detects and disables'inappropriate behavior' accounts.
Then, for a subset of the images,the Galaxy Zoo labels are used to train a machine learning model.
Our scientists then built a machine learning system based on that data to predict how all other Swedish words would be pronounced.
In an effort to differentiate ourselves from other companies operating in our sphere,we thought we would offer three questions to those firms exploring a machine learning product.
When exploring a machine learning product, look for those companies that focus on either an industry, or on a use case.
Real-time translations are made possible thanks to Neural Machine Translation(NMT), a machine learning technique that completes translations by predicting the likelihood of a word sequence.
Once trained, a machine learning algorithm is capable of sorting brand new inputs through the network with great speed and accuracy in real time.
Using just the language in millions of old scientific papers, a machine learning algorithm was able to make completely new scientific discoveries.
The diagnostic device analyzes in real-time ten conditions of the scalp such as hair follicle density, dead skin, sensitivity, temperature andhumidity based on a machine learning algorithm.
When someone applies a machine learning algorithm, it's hard to control its behaviour,” says machine learning researcher Philip Thomas.
Fortunately, a group of researchers from the University of Nottingham in England developed a machine learning algorithm that could predict the likelihood of a heart attack or stroke.
When someone applies a machine learning algorithm, it's hard to control its behaviour," says machine learning researcher Philip Thomas.
Researchers interested in creating what I have calledcomputer-assisted human computation systems(e.g., systems that use human labels to train a machine learning model) might be interested in Shamir et al.
This type of data can then be fed to a machine learning model to evaluate the impact of those elements on the health and durability of the tank.
At that point,researchers need to build a computer-assisted human computation system in which human classifications are used to train a machine learning model that can then be applied to virtually unlimited amounts of data.
For the study, the scientists used a machine learning computer programme to explore the relationship between metabolic and chronological brain age.
At that point, researchers need to build a computer-assisted human computation system in which human classifications are used to train a machine learning model that can then be applied to virtually unlimited amounts of data.
The important part here is that a machine learning algorithm is capable of learning and acting without programmers specifying every possibility within the data set.
Then, King andcolleagues used this hand-labeled data to estimate a machine learning model that could infer the sentiment of a post based on its characteristics.
Although a machine learning application can gather data over time and become smarter, it needs a jumping-off point where there is enough data to teach the system how to think in the first place.
More specifically, using the human classifications created by Galaxy Zoo,Banerji built a machine learning model that could predict the human classification of a galaxy based on the characteristics of the image.