Examples of using Learning model in English and their translations into German
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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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Ecclesiastic
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Political
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Computer
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Programming
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Official/political
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Political
Clear a deep learning model.
Built a machine learning model that could predict the human classification of a galaxy based on the characteristics of the image.
Train a deep learning model.
The team further enhanced the MATLAB application by updating the interface to incorporate predictions from the machine learning model.
We have got a unique learning model- we call it"effective.
The learning model responds to the management of visual design process coupled with the production of the creative design solutions needed in the industry.
Explanations are given on original input features, even though the machine learning model might work on abstractions.
Creation of a physical 3D learning model of the hand and foot with tendons and muscles.
By partnering with Siemens to make energy-efficient facility improvements ESM has been able to not only save money,but realize their vision by implementing a new teaching and learning model.
Then, the supervised learning model was used to impute the survey responses for all 1.5 million customers.
Researchers at the MPI for Psycholinguistics used a computational learning model to gain novel insights into these issues.
The learning model of Virtual Welding is based on the tried-and-tested sequence of welder training at Fronius, beginning with manual metal arc welding.
The research of Blumenstock and colleagues(2015) involved building a machine learning model that could use digital trace data to predict survey responses.
The learning model will help you to combine theoretical business studies with learning by doing under the guidance of a Team Coach in a virtual firm.
The research of Blumenstock and colleagues(2015) involved building a machine learning model that could use digital trace data to predict survey responses.
It is also based on a learning model of human behavior and employs various techniques of reward and punishment to reinforce behavior which is acceptable while decreasing that which is unacceptable.
Even in everyday business, where we are not dealing with quite so dire consequences,a machine learning model can have very serious repercussions if it doesn't perform as expected.
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.
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.
Through a blended learning model, faculty and students access SAP software and SAP University Alliances curricula, bringing hands-on learning with SAP's enterprise software solutions into the classroom.
Understanding the relationship between features, classes and predictions,thereby understanding why a machine learning model made the decisions it made and which features were most important in that decision can help us decide if it makes intuitive sense.
Machine learning model were more complex than those in my toy example-for example, she used features like"de Vaucouleurs fit axial ratio"-and her model was not logistic regression, it was an artificial neural network.
Their solution was to create AutoML, a machine learning model designed to create other machine learning models using an approach called reinforcement learning. .
Building a machine learning model that can correctly reproduce the human classifications is itself a hard problem, but fortunately there are already excellent books dedicated to this topic Hastie, Tibshirani, and Friedman 2009; Murphy 2012; James et al.
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.
Building a machine learning model that can correctly reproduce the human classifications is itself a hard problem, but fortunately there are already excellent books dedicated to this topic Hastie, Tibshirani, and Friedman 2009; Murphy 2012; James et al.
They used the survey data to train a machine learning model to predict someone's wealth from their call data, and then they used this model to estimate the wealth of all 1.5 million customers.
Hierarchical temporal memory(HTM) is an online machine learning model developed by Jeff Hawkins and Dileep George of Numenta, Inc. that models some of the structural and algorithmic properties of the neocortex.
Main project result is an innovative, transferable learning model for telematics in motor vehicles that translates vehicle technology and digital content into competences and skills, transfers those competences into learning units and applies them in practical training.
The features in Banerji and colleagues' machine learning model were more complex than those in my toy example-for example, she used features like"de Vaucouleurs fit axial ratio"-and her model was not logistic regression, it was an artificial neural network.