Examples of using Machine-learning in English and their translations into Hungarian
{-}
-
Colloquial
-
Official
-
Medicine
-
Ecclesiastic
-
Financial
-
Programming
-
Official/political
-
Computer
Machine-learning or even artificial intelligence is not used.
Data science platforms are engines for creating machine-learning solutions.
True machine-learning applications can deal with complex high-dimension data.
Ford has acquired SAIPS, an Israeli computer-vision and machine-learning company.
Google's new Panda machine-learning algorithm, made possible by and named after engineer Navneet Panda.
People also translate
She is a computer-animated avatar chatbot with machine-learning artificial intelligence.
A machine-learning approach could help robots assemble cell phones and other small parts in a manufacturing line.
More and more businesses are using AI and machine-learning algorithms to influence decision-making.
Of the patient data,80% was used for training and 20% was set aside for testing machine-learning algorithms.
The team also used new machine-learning techniques to reconstruct detailed spectra from a limited number of channels.
So that's a million people whomight be having some problems with their glucose if this machine-learning mumbo jumbo that he did in the FDA database actually holds up.
The team developed a new machine-learning technique which transfers knowledge about tumours across similar patients.
In order to find out which genes are responsible for diseases such as cancer or diabetes,scientists nowadays frequently resort to using machine-learning models.
Researchers at the University of Guelph are using machine-learning to build novel molecules that could replace the use of traditional antibiotics.
For the more elaborate 2018 attempt, GoldmanSachs' economists fed oodles of data about teams and individual players into four different types of machine-learning models.
Their advanced analysis and machine-learning algorithms adapt differently to each body type and provide detailed sleep information each morning.
When it comes to maintaining the health ofindustrial equipment operating in remote locations, machine-learning algorithms running on embedded hardware are becoming an effective option.
Using machine-learning, researchers determined that a specific brain activity pattern reliably predicted the size of the volunteers' blood pressure and heart rate reactions to the mental stress tests.
However, these software programs typically use simpler statistical and machine-learning approaches to identifying mutations by attempting to rule out read errors.
All battery-relevant data- e.g. current ambient temperature and charging habits- is first transmitted in real time to the cloud,where machine-learning algorithms evaluate the data.
And combining all of this information, our machine-learning algorithms can then verify, in an automated way, whether the ship is only fishing where it's supposed to, or not.
Nothing in this announcement limits WhatsApp's right to enforce its Terms using technology,such as banning accounts based on machine-learning classifiers, and WhatsApp will continue to do so.
It's also been argued that the data which is selected for machine-learning often reflects the unconscious biases of the researcher/developer(usually young white males).
For example, they said, if clinicians always withdraw care in patients with certain diagnoses,such as extreme prematurity or brain injury, machine-learning systems may learn that such diagnoses are always fatal.
These are products that organizations use to build machine-learning solutions themselves, as opposed to outsourcing their creation or buying ready-made solutions.
Our study shows that machine-learning techniques help us better represent clouds and thus better predict global and regional climate's response to rising greenhouse gas concentrations.".
Adobe Sensei, Adobe's artificial intelligence and machine-learning engine, helps you build more intuitive experiences that will reach your customers based on their interests and preferences.
The AI automatically analyzes case text via a machine-learning algorithm, and UCL's Nikolaos Aletras thinks the technique would be very helpful for finding patterns in cases that lead to certain decisions.