Examples of using Learning model in English and their translations into Slovenian
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Learning model of the industrial process.
Everybody has their own interpretation of the 70/20/10 Learning model.
Such a learning model significantly reduces the burden on students.
Then, for a subset of the images,the Galaxy Zoo labels are used to train a machine learning model.
Learning model of the industrial process| em. tronic English Slovenščina.
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Fourth, they used the supervised learning model to estimate the sentiment of all the posts.
IBI is composed of highly qualified research team,which will bring researching experience and competencies in developing the innovative learning model.
Third, they trained a supervised learning model to classify the sentiment of posts.
If this machine learning model could reproduce the human classifications with high accuracy, then it could be used by Galaxy Zoo researchers to classify an essentially infinite number of galaxies.
(2010) used the Galaxy Zoo classifications to train a machine learning model to do galaxy classification.
Next, use that machine learning model to impute the survey answers of everyone in the digital trace data.
(2010) used the Galaxy Zoo classifications to train a machine learning model to do galaxy classification.
Then, the supervised learning model was used to impute the survey responses for all 1.5 million customers.
The main purpose of the SILM, as first innovative project component, is to establish joint contemporary educationalpractices and produce a long-term strategic learning model based on the existing curricula adopted and successfully implemented in each partnering institution.
(2010) built a machine learning model that could predict the human classification of a galaxy based on the characteristics of the image.
Then, King andcolleagues used this hand-labeled data to estimate a machine learning model that could infer the sentiment of a post based on its characteristics.
AMPI's aim is to design a new learning model and a sustainable pedagogical platform where people from different backgrounds are able to contribute to the film industry and initiate change.
Then, King andcolleagues used this hand-labeled data to estimate a machine learning model that could infer the sentiment of a post based on its characteristics.
Our aim is to design a new learning model and a sustainable pedagogical platform where people who have arrived in Finland from different backgrounds get to contribute to the film industry, and initiate change.
First, for the people in both data sources, build a machine learning model that uses digital trace data to predict survey answers.
It involves a comprehensive learning model to enhance student transversal 21st century skills within the curriculum, including providing teachers with modern approaches and innovative tools for the development and assessment of these skills.
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.
Windows 10 now uses a machine learning model to predict the right time to restart your PC when you're not actively using it.
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.
More specifically, they used their machine learning model, which was trained on their sample of about 1,000 people, to predict the wealth of all 1.5 million people in the call records.
Next, the researchers built a supervised learning model to predict the survey responses from the person by feature matrix.
Finally, they used this machine learning model to estimate the sentiment of all 11 million posts.
Next, the researchers built a supervised learning model to predict the survey responses from the person-by-feature matrix.