Examples of using Machine-learning in English and their translations into Slovak
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Using the Instagram photos and mental health history collected in the first part of the study, the researchers then pitted a different group of volunteers against a machine-learning algorithm to see if humans
the researchers used a machine-learning technique to analyse whether participants' relative spending across categories was predictive of specific traits.
or with the help of the cars to drive themselves, or for training machine-learning algorithms in a data center.
the researchers used a machine-learning technique to analyze whether participants' relative spending across categories was predictive of specific traits.
Thanks to our machine-learning approach, we not only validate the role of personality in explaining eye movement in everyday life,
The application of machine-learning techniques is far-reaching.
ESET has developed its own in-house machine-learning engine dubbed ESET Augur.
Flexible automated plants are using machine-learning analytics to grow and improve quality.
Due to its fantastic results, machine-learning algorithms have wide scale of uses.
Unlike some machine-learning systems, Dabus has not been trained to solve particular problems.
In 2017, over 300 million smartphones will have on-board neural network machine-learning capability.
It has funded a study that developed machine-learning algorithms capable of turning brain activity into speech.
It uses its own experience, created by training machine-learning algorithms with information on countless drug-like molecules.
Whereas machine-learning techniques are at the heart of all main web platforms
Google's new Panda machine-learning algorithm, made possible by and named after engineer Navneet Panda.
Hedge-fund managers now rely on machine-learning algorithms that incorporate car counts as well as other types of alternative data.
It leverages its own experience, built up by training machine-learning algorithms with data on hundreds of thousands of drug-like molecules.
Much larger machine-learning projects may require vastly new engagement from gig economy workers, who may unknowingly engage in the work.
There's also a new machine-learning enhance feature, support for Quick Actions
The researchers used machine-learning techniques to train the software to differentiate between happiness