Examples of using Learning model in English and their translations into Dutch
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Colloquial
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Official
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Ecclesiastic
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Medicine
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Financial
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Computer
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Ecclesiastic
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Official/political
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Programming
The'Conscious Competence' learning model and its impact on performance the learning dip.
Machine learning model were more complex than those in my toy example-for example,model was not logistic regression, it was an artificial neural network.">
But- with some changes to the machine learning model and additional validation steps- the technology can also be used in a lot of other contexts,
Therefore, we're likely to see professionals brushing up on the latest programming languages and tools, and adopting a continuous learning model via courses at local colleges or online.
If this machine learning model could reproduce the human classifications with high accuracy,
can be fed directly to the deep learning model, where the computer has to find the meaningful features or relationships.
They used the survey data to train a machine learning model to predict someone's wealth from their call data,
More specifically, they used their machine learning model, which was trained on their sample of about 1,000 people,
Building a machine learning model that can correctly reproduce the human classifications is itself a hard problem,
colleagues used this hand-labeled data to estimate a machine learning model that could infer the sentiment of a post based on its characteristics.
At that point, researchers need to build second-generation systems where human classifications are used to train a machine learning model that can then be applied to virtually unlimited amounts of data.
such as features or connections before it could be exposed to the machine learning model.
skills of street children into a learning model which fosters the same spirit in companies.
Custom machine learning modelling and algorithm design.
Optimize machine learning models through adaptation of the raw data itself.
Use R to create deep learning models for banking.
To achieve this, he is working on machine learning models with various time frames.
Create machine learning models using different popular algorithms.
Machine learning models to better understand what is most relevant for consumers.
Explaining deep learning models for behavioral data.