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Developing and training machine learning modules are core activities of data scientists.
This includes distributed training, machine learning inference, data processing, latency-sensitive applications, and throughput-oriented applications.
The proposed training machine is composed of a body weight support device and a cable-driven parallel robot.
This paper deals with a design approach of a gait training machine based on a quantitative gait analysis.
To tackle this issue, we assessed the feasibility of automated data abstraction process, by training machine learning classifiers, based on existing manually extracted data.
Scientists are training machine learning algorithms to help shed light on earthquake hazards, volcanic eruptions, groundwater flow and longstanding mysteries about what goes on beneath the Earth's surface.
Similar(18)
Validating image analysis pipelines and training machine-learning segmentation algorithms require images with known features.
Leading-edge data scientists have begun training machine-learning systems to generate interesting hypotheses for experiments.
At its end, we are suddenly in modern dress, with Richmond's heavies training machine-guns on us as he promises post-civil war peace.
It leverages its own experience, built up by training machine-learning algorithms with data on hundreds of thousands of drug-like molecules.
GumGum CEO and panelist Ophir Tanz is a major believer in the potential of pattern recognition and the ease of training machine-learning systems for specific goals.
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