Examples of using Learning models in English and their translations into Portuguese
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
We spend millions of dollars building technical architecture and advanced machine learning models to fight this battle.
deploy machine learning models for classification and regression.
evaluate deep learning models using BigDL.
providing faster evaluation and support for cutting-edge machine learning models.
makes it easy for developers to integrate machine learning models into their apps.
Productionizing machine learning models Training a machine learning model as described here is really just one step in the process of using machine learning to solve a business problem.
Unsupervised learning models can provide a variety of supplementary constraints to improve the generalization capability of classifiers.
Once you create your machine learning models, Amazon Machine Learning provides APIs to obtain predictions from them,
When the establishments of formal education, learning models were quite radical
The quality of your machine learning models depends on the quality of the input data
Just recently, Microsoft's cloud-based machine learning models detected- with only 200 discrete targets- a stealthy and highly targeted attack
a new platform that enables developers to easily develop machine learning models in the intelligent cloud
Built-in cognitive capabilities- powered by machine learning models, natural language processing
such as building machine learning models and transforming and analyzing data with DataFrames.
visual attention models and bioinspired learning models were studied for detection
It is the consensus of language schools that less than a 60 hour immersion course of instruction is no more valuable than traditional learning models, yet most courses offer fewer hours than that.
user learning feedback is delivered back into cognitive learning service to create new learning models for classification and extraction.
applied issues associated with new learning models mediated by digital resources via the internet
transform them for optimal use in your machine learning models.
to make machine learning models that use sparse data consume less memory
