Examples of using Machine-learning in English and their translations into Korean
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What machine-learning technique to use for a particular data science project.
Times: its technology's efficiency advantage over other machine-learning methods.
We're working on research that uses machine-learning techniques to learn driver preferences.
But the AI art that has emerged over the past couple of years incorporates machine-learning technology.
Although machine-learning systems for detecting social bots exist, these systems are not always accurate.
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We have listed the most important machine-learning tools written in Java below.
Machine-learning project(Aigents) using blockchain social platforms Steemit& Golos- PM.
The 3rd place in the final round of AutoML Challenge at machine-learning international academic conference.
Google's new Panda machine-learning algorithm, made possible by and named after engineer Navneet Panda.
Initially, the team had been focusing on a traditional machine-learning technique called Random Forest.
It also detects adversarial machine-learning attempts and initiates self-learning to provide protection against unknown threats.
Then put your data to work with predictive analytics,visualizations, and machine-learning models. DevOps.
SK Telecom plans to provide various machine-learning related services by putting the mass data of the enterprise to use.
Out of these billion files, more than 200 million have been added by the Astraea machine-learning system.
We wanted to see if we could build machine-learning models that could understand the emotional impact of language.
In order to have explainable AI we need to bring both graph-rules engines together with machine-learning systems.
Siri uses machine-learning technology in order to get smarter and capable-to-understand natural language questions and requests.
Useful, but not revolutionary- and neither requires the fancy machine-learning techniques pioneered in recent years.
With industry-leading machine-learning and behavioral modeling, you can outsmart emerging threats in your digital business.
Game performance is also excellent,while the improved AI processor speeds up AR experiences and other machine-learning systems.
After some recent success of Bayesian methods in machine-learning competitions, I decided to investigate the subject again.
In December, Google hired 10,000 workers to help clean up content on YouTube and train its machine-learning technology.
Both cloud-based Hadoop and machine-learning algorithms need large volumes of raw data to iterate and identify patterns.
The acquisition of SalesPredict follows eBay's announcement in May that it is buying the Swedish machine-learning startup Expertmaker.
Developers who train machine-learning algorithms have found that it often makes sense to build toasters rather than wonder-boxes.
The strategy for achieving that goal is to develop new or modified machine-learning techniques that will produce more explainable models.
An inference or machine-learning component 612 and/or engine can then search for additional users that have similar preferences, such as a second user.
TensorFlow is far from the only tool out there for building machine-learning software, and experts can argue for hours about their individual merits.
Integrated machine-learning algorithms enable the development of applications that perform real-time predictions such as personalized shopping and fraud detection.
Akamai's threat researchers mine that data with powerful machine-learning algorithms to spot DDoS and web application attacks in real time.