Examples of using Machine learning has in English and their translations into Chinese
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Machine learning has many applications.
Sanyam: Do you feel Machine Learning has been overhyped?
Machine learning has lots of applications.
Li characterised the moment as the end of the beginning, in which machine learning has emerged from lab experiments to commercial deployments.
Machine learning has its own limitations.
With the rise in big data, machine learning has become particularly important for solving problems in areas like these:.
Machine learning has a plethora of applications.
Like any discipline, machine learning has a lot of“folk wisdom” that can be hard to come by but is crucial for success.
Machine learning has actually been around for a while.
But, machine learning has gotten much better than that now.
Machine learning has actually been around for a long time.
Machine learning has become a buzzword in the media these days.
Machine learning has been applied successfully in many areas.
Machine Learning has been used in various medical efforts, including:.
Machine learning has the potential to solve the world's biggest problems.
Machine Learning has been used in various medical efforts, including:.
Machine learning has proven extremely successful in the area of analysis.
Machine learning has proven extremely successful in the area of analysis.
Machine learning has been used to automatically translate long-lost languages.
Machine Learning has become one of the most key components of the future.
Machine learning has proven extremely successful in the area of analysis.
Machine learning has turned out to be a very useful tool for translation, but it has a few weak spots.
Machine learning has become a central part of our life- as consumers, customers, and hopefully as researchers and practitioners!
Machine learning has become a central part of a lot of basic large-scale computing projects, from bots to search engines and more.
Machine learning has the potential to unlock 20% more production capacity through predictive, optimised maintenance of machines. .
Machine learning has the potential to vastly advance medical imaging, particularly computerized tomography(CT) scanning, by reducing radiation exposure and improving image quality.