Examples of using Using machine learning in English and their translations into Indonesian
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Using machine learning to transform online education and improve student outcomes.
Current launches like Google Pictures and Google Now using machine learning are superb progress.
Automatic diagnosis using Machine Learning will invariably be a next step in the transformation of medicine throughout the world.
Asaii built tools that allowed music labels to discover, track,and manage artists using machine learning.
Using machine learning, the app can monitor and track how you play, comparing the results and provide an assessment.
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The update introduces several new features primarily centered around using machine learning to make your phone smarter.
He hopes that by using machine learning, computers will be able to tell us what a dog's growl or the wag of the tail really means.
However, this doesn't mask thefact that they have made great strides in using machine learning to entrust their prized search algorithm to it.
Using Machine Learning, Wattpad will identify stories and trends to develop as iflix original films, under the brand iflix Originals.
The language recommendation feature is developed using machine learning and is based on your app's install history and market data.
Using machine learning, it analyzes matches and makes personal recommendations, and allows gamers to be taught by a virtual assistant.
Analyze and significantly reduce customer churn using machine learning to streamline risk prediction and intervention models.
Using machine learning, they searched through 50 million different search terms to see which are most predictive of the CDC flu data.
It would also be able to analyze recordings using machine learning, which would then work out what type of stimulation to give a patient.
Using machine learning, the rear cameras can detect up to 16 different scenes and adjust the camera settings to best capture the scene.
And as you think about bots,also consider optimizing your content for voice search and using machine learning to deliver personalized content.
Companies like Google are already using Machine Learning processes for greater precision in delivering their services.
And as you think about bots,also consider optimizing your content for voice search and using machine learning to deliver personalized content.
It is by using machine learning, artificial intelligence or data analytics that they can now identify the anomalies that would go unnoticed otherwise.
Scientists from Google and its health-tech subsidiary Verily havediscovered a new way to assess a person's risk of heart disease using machine learning.
Optimization: Using machine learning, Auto Ads show ads only when they are likely to perform well and provide a good user experience.
Researchers at the Max Planck Institute of Intelligent Systems in Germany proposed a new approachto give images a realistic texture when magnified from small to large using machine learning.
This device can also analyze recordings using machine learning which then can be used to identify the kind of stimulation should be provided to the patient.
Their integrated consumer analytics and survey workflow application claims to give customers a more accurate andgranular picture of consumers than traditional polling using machine learning.
By using machine learning, our computer was able to make a diagnosis of fibromyalgia, based only on the composition of the microbiome, with an accuracy of 87%.
They will also exchangebest practices on content detection techniques using machine learning as well as define“standard transparency reporting methods for terrorist content removals.”.
This state-of-the-art lab uses brain-computer interfaces, physiological and affective computing,and cognitive and social psychology to build models of user state using machine learning.
One of the challenges in using machine learning for drug development is to create a process for the computer to extract needed information from a pool of data points.
SGInnovate has invested in companies developing technologies for better patient monitoring,improving medical imaging using machine learning and improving stroke prediction using AI.