Examples of using A machine learning in English and their translations into Slovak
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She works as a Machine Learning Scientist in ESET.
Then, for a subset of the images,the Galaxy Zoo labels are used to train a machine learning model.
As there is a machine learning algorithm in this--(Applause).
Primer's John Bohannon has been discovering people's work and contributions thanks to a machine learning system built at Primer.
As there is a machine learning algorithm in this--(Applause) Thank you.
People also translate
We would like to invite you to freewebinar about an Artificial Intelligence with Jiří Materna, a Machine Learning expert.
To make this possible a machine learning technique called natural language processing is used.
In this regard, WhatsApp confirmedearlier today that it's trying to prevent spam and fake news using a machine learning system that is able to ban about 2 million accounts per month.
The company has developed a machine learning system to detect and ban accounts engaged in“inappropriate behavior.
A machine learning algorithm detects and differentiates the user's regular movement and unexpected and sudden movements that can be indicative of an assault.”.
In another application,resumes of laid-off workers are fed into a machine learning system that matches their skills with employers.
It is a machine learning system that helps Google understand the meaning behind queries and serve best-matching search results in response to those queries.
First, for the people in both data sources, build a machine learning model that uses the big data source to predict survey answers.
A machine learning system designed to shift control between an autonomous vehicle and a human driver as needed, such as in an emergency.
Unlike in traditional analysis, the more data fed to a machine learning system, the more it can learn, resulting in higher-quality insights.
It's a machine learning system that Google uses to develop all of its smart products, from speech recognition to image search or automatic subtitling on YouTube.
Then, they used this hand-labeled data to create a machine learning model that could infer the sentiment of a post based on its characteristics.
Using a machine learning algorithm to classify tweets by content, region and sentiment, researchers examined tweets sent in Florida in 2017 during Hurricane Irma, when more than six million people were evacuated.
For example, a programmer looking at error messages,could use a machine learning system that looks at the error messages and suggests a course of action.
Motherbrain, a machine learning system that EQT Ventures built to identify up-and-coming startups, applies its algorithm to historical data in order to identify promising investment candidates.
Combining these two sources of data,they used the survey data to train a machine learning model to predict a person's wealth based on their call records.
Atos will develop a machine learning practice that will leverage Google Cloud's ML APIs to create industry specific solutions across multiple verticals.
Given this possibility,Blumenstock asked whether it was possible to train a machine learning model to predict how someone will respond to a survey based on their call records.
Researchers have developed a machine learning system that can'de-anonymize' programmers, whether it's through raw source code or compiled binaries.
Experts from the Ben-Gurion University and the Soroka University Medical Center, Beer-Sheva, in Israel have developed proof-of-concept(PoC)malware that uses a machine learning technique known as generative adversarial network(GAN) to quickly alter 3D images generated during a Computer Tomography(CT) scan.
They say that in a series of experiments, they were able to train a machine learning model to separate liars and truth-tellers by watching a one-on-one conversation between two people typing online, while using only the content and speed of their typing- and none of the other physical clues that polygraph machines claim can sort lies from truth.
For machine learning, unlike for traditional analysis, the more data fed to a machine learning system, the more it can learn, resulting in higher quality insights.