Examples of using Machine learning algorithms in English and their translations into Hungarian
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Computer
Build or use datamining and machine learning algorithms.
Machine learning algorithms have overtaken humans by recognizing speech.
Develop or apply data mining and machine learning algorithms.
Using machine learning algorithms in order to build computer vision applications.
After preparing the data, I present the machine learning algorithms I use.
Google uses its machine learning algorithms and historic flights status data to predict flight delays.
H2O Sparkling Water permits users to combine the quick, scalable machine learning algorithms of H2O with the capabilities of Spark.
Advanced AI and machine learning algorithms to analyse and extract data patterns and to predict trends and future behaviour.
The Aclaró teammake things happen by using advanced machine learning algorithms to help businesses in the automotive sector.
Machine learning algorithms will be developed to automatically learn from and encapsulate the human judgments currently needed to select data.
This feature uses Nokia Bell Labs machine learning algorithms to predict failures.
Many Tableau users would like to see Tableau adopting this type of approach with prebuilt templates andrecommended machine learning algorithms.
Using historical flight data, Google's machine learning algorithms will predict the status of each flight.
All parts of social and personal life are transformed with rapidspeed by researches developing artificial intelligence and machine learning algorithms.
And we have developed modern machine learning algorithms and deep neural networks to predict individual truck tours.
When YouTube first started to pay attention to this, the first thing they said they woulddo about it was that they would deploy better machine learning algorithms to moderate the content.
Acknowledges that machine learning algorithms are trained to learn by themselves, benefiting automation and decision-making;
With Google- and all of its main competitors- moving their focus towards unsupervised machine learning algorithms, how exactly will they comply with these regulations?
To maximize results and give machine learning algorithms enough data to make informed bidding decisions, you need at least 15 conversions in the past 30 days.
And these things only work if there's an enormous amount of data,so they also encourage deep surveillance on all of us so that the machine learning algorithms can work.
By using the information provided by machine learning algorithms, Google was able to cut the amount of energy it used at its data centres by 15%.
My main responsibilities are research and data analysis. The research revolves around developing new, intelligent machine learning algorithms that can give more relevant/efficient recommendations.
We became interested in developing machine learning algorithms that could learn from hundreds of thousands of chest X-ray diagnoses and make accurate diagnoses.”.
The aim of personalization is to unearth connections between personal taste and implicit, as well as explicit user preference signals through sophisticated,scalable machine learning algorithms.
We utilize a range of techniques like pop-unders, machine learning algorithms, as well as programmatic media buying from a large database of advertising networks.
Researchers from the University ofStuttgart in Germany and Flinders University in Australia used machine learning algorithms to demonstrate a link between personality and eye movements.
To maximise results and give machine learning algorithms enough data to make informed bidding decisions, we recommend that you have at least 50 conversions in the past 30 days.
Photos for a slide show selected the proprietary technology automatically detects, machine learning algorithms for finding users, travelers and the place where the published photos were taken.
Zhang and his team, using neural networks, developed advanced machine learning algorithms to further examine the data and have found an additional 72 bursts which were previously undetected.
But in the meantime, ensuring that we apply our machine learning algorithms to good quality data in a closely-monitored environment is the closest we will get to emotionally intelligent machines. .