Examples of using Using machine in English and their translations into Slovak
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Computer
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Programming
Driving and using machine s.
Using machine translation is strictly prohibited.
Driving and using machine s.
Using machine learning for unknown malware detection.
Other customer-make pipe using machine.
People also translate
Instagram begins using machine learning to clamp down on fake activity.
However, There are weakness of using machine.
Using machine learning, colors are extracted from the images you provide to Google Ads.
Detecting fake news by using machine learning.
Using machine learning, scientists discovered a connection between people's personalities and eye movements.
DT Recognition of road marks using machine vision.
Using machine learning offers opportunities to automate targeting as it does for web personalization.
An example of an automatically created song using machine learning.
Krisp reduces noise on calls using machine learning, and it's coming to Windows soon.
Taking destroyed part of thebearing inner ring can get using machine tap.
Krisp reduces noise on calls using machine learning, and it's coming to Windows soon- Rare Norm.
On the platform run the algorithms for vehicle movement generated by Bosch and Daimler using machine learning methods.
Therefore, to calculate attendance using machine learning, in each case, an own statistical model is created.
Using machine translation, we can understand from the Policy that cookies are used to collect personal information.
Furthermore, after pouring concretemortar must be further compacted using machine or other device of similar purpose.
Similar audience lists are created using machine learning and are built to adapt to changing markets and trends dynamically.
For example, features such as Content-Aware Fill in Photoshop andfacial recognition in Lightroom can be refined using machine learning.
Using machine learning, they searched through 50 million different search terms to see which are most predictive of the CDC flu data.
Google and its health-tech subsidiary, discovered eye scans as a new way toassess a person's risk of heart disease using machine learning.
Scientists from Google and its health-tech subsidiary Verily have discovered a new way toassess a person's risk of heart disease using machine learning.
Online reputation and knowing their own clients-by analysing both its own and freely available data using machine learning algorithms, the company can better get to know their clients.
For example, when using machine learning, a manufacturer succeeds in test and calibration time reduction via accurate prediction of calibration and test results.