Examples of using Machine learning technology in English and their translations into Chinese
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UAC uses Google's machine learning technology to evaluate numerous signals in real time, refining each ad to help you reach your most engaged users.
Google uses the machine learning technology in more than 100 areas so far and clearly hopes AI will power compelling new services.
Amazon Machine Learning enables you to use powerful machine learning technology without requiring an extensive background in machine learning algorithms and techniques.
Deep learning will continue to be the most important machine learning technology in 2018.
That's a big reason why Herlihy is cultivating a data lake, using Microsoft's Azure machine learning technology to refine the personal messaging.
Inspired user interface design is hard, and I expect many companies will take powerful machine learning technology and use it to build insipid user interfaces.
Using machine learning technology, the experts developed a special application and gave it to 45 participants who were told to enter some PIN codes and passwords.
OWKIN uses machine learning technology to integrate biomedical images, genomics and clinical data to discover biomarkers and mechanisms associated with diseases and treatment outcomes.
Allo's"Smart reply" feature uses Google's machine learning technology to suggest a reply to the last message, which can be selected from a few options.
Using improved machine learning technology, they were able to identify and terminate almost one million bad advertiser accounts, nearly double the amount terminated in 2017.
It's still early days for adoption though a recent study by consultancy Deloitte reported that only 8% of enterprises use machine learning technology today.
Zingbox's cloud-based service uses AI and machine learning technologies to help organizations discover, identify, secure, and optimize connected devices.
Explore how companies are using blockchain, the IoT, and machine learning technologies to solve specific problems- and uncover new business models in the process.
Find out Gartner's definitions, analysis, advice, and projected business impacts of more than 25 data science and machine learning technologies.
The internet of things, big data and machine learning technologies are shaping the next generation of business applications.
For machine learning technologies to achieve their full potential, we have to understand how machine learning works in the presence of adversaries.
That is exactly the kind of profound impact that artificial intelligence(AI) and Machine Learning technologies are having on the world right now.
Today, IBM scientists are using machine learning technologies to understand the behaviors of mobile devices on a network in order to assess potential risk.
Data science, AI, NLP, machine learning technologies are increasingly being adopted across business sectors.
As artificial intelligence(AI) and machine learning technologies become more and more sophisticated in the future, the IoT platform will provide powerful business analysis functions.