Examples of using Learning models in English and their translations into German
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Development of fair and personalized machine learning models.
Integrate and evaluate trained learning models locally in your applications.
Building predictive models with ScaleR Developing machine learning models.
We can also revisit our original machine learning models and update them on a regular basis.
Autoencoder models canalso be used for pre-training supervised learning models.
Tried-and-tested, attractive, practice-oriented learning models for vocational education in the area of high technology.
Core ML 3 supports the acceleration of more types of advanced, real-time machine learning models.
Dedicated machine learning models learn from mathematical activity and make no mistake.
Furthermore, there is a large number of libraries andframeworks for training deep learning models.
Bitdefender HyperDetect contains machine learning models and stealth attack detection technology.
In work-based learning models, such as dual learning systems, a significant part of the training is conducted within companies.
Most of the contestants trained three separate machine learning models, one for each epilepsy patient.
Machine learning models have been impressively accurate at distinguishing malignant from benign tumors of different types.
For 2020, we haveenhanced it to stop illicit service termination attacks and improved its effectiveness with new machine learning models.
Deploy and run your own machine learning models or tune existing models with your own data through customization.
Recently, Google announced Cloud AutoML, a MLaaS that addresses unexperienced machine learning developer,to help creating deep learning models.
Evaluation of machine learning models: experiment setup, key figures for the assessment of performance, significance analysis, cost functions.
Therefore, if you are interested and want to see it in greater depth, Some learning models involving a theory of motivation are the Maerh and Meyer, 1997;
Understanding our machine learning models is also necessary to improve trust and provide transparency regarding their predictions and decisions.
VET schools, experts for inclusive education andglobal learning as well as companies together develop learning models and formulate recommendations for other VET schools and companies.
Learning models from data is a major, major area of artificial intelligence and it's perhaps the one that had the most commercial success.
Over the last few years, we have introduced machine learning models to predict load and capacity, as well as simulate hardware changes in Pure1®.
Alongside data clusters, processes for dimension reduction,whose use as pre-processing can increase the generalisation of supervised learning models, will also be covered.
In contrast, machine learning models adapt easily, delivering reliable results over time and freeing resources to solve other problems.
It would have taken me days if notweeks of development time to construct and test all these machine learning models in Python or R. Improving Prediction Accuracy.
International learning models selected and described by OECD consultants to illustrate the recommendations given and to offer ideas and inspiration for policy innovation; and.
Welcome to Feature Engineering on Google Cloud Platform where we will discuss the elements of good vs bad features and how youcan preprocess and transform them for optimal use in your machine learning models.
Experience to date has shown that the only way to make all learning models and learning products(learnware) accessible to a wide European public is to establish a close partnership on a multilingual basis.
With a dedicated team of former educators who have extensive backgrounds in successful technology implementation, Dell EMC is uniquelypositioned to support districts in designing student-centric learning models to develop future readiness of students.
In June 2017, Mozilla's Open Innovation team launched Common Voice with the goal of establishing the world's largest opencollection of human voice data to provide startups, innovators, and research universities with reliable datasets with which to train machine learning models for speech technologies.