Examples of using Learning models in English and their translations into Hungarian
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Colloquial
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Official
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Medicine
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Ecclesiastic
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Financial
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Programming
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Official/political
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Computer
Bring machine learning models to market faster using the tools and frameworks of your choice, increase productivity using automated machine learning, and innovate on a secure, enterprise-ready platform.
This rich data is used to train deep learning models to interpret human behavior the way people do.
In total, eight learning models can be built,
These data scientists train machine learning models of a phenomenon in order to forecast future expectations and trends.
NASCAR plans to use Amazon SageMaker to train deep learning models against 70 years of historical footage to enhance metadata
Thanks to its new support for Azure Machine Learning, Excel users will now also be able to use the machine learning models that their company's data scientists have developed for them.
AI will then learned the dataset and learning models will be generated to predict the treatment effects of medication.
build professional learning networks, and create new learning models.
The predictions are based on multiple machine learning models and use the aircrafts' Quick Access Recorder(similar to the Black Box) along with other data sources.
These models are often referred to as unsupervised learning models, since there is no external standard by which to judge the model's classification performance.
You can leverage flexible solution templates built using best-practice architecture and machine learning models, backed by our rich partner ecosystem.
Education should be brought to life through practical experiential learning models and experience of real-world entrepreneurs.
Reviews work-based learning models and provides policy advice to EU governments to help reduce joblessness,
Also, the machine learning models in these projects can be solicited with open calls,
In work-based learning models, such as dual learning systems, a significant part
Real-time examination of each transaction using machine learning models which look for fraud indicators based on activities,
Databricks gives flexibility to build and deploy machine learning models on-premises or in the cloud.
Machine Learning models used for real-time examination of each transaction for indicators of fraud- looking at activities, patterns
Our learning models perform similarity analysis between previously classified phishing sites
And with increased competition due to globalization and alternative learning models, universities need to look at new ways of increasing student engagement and improving student retention.