Sentence examples for machine learning workflows from inspiring English sources

Together with the separated network definition, this was found to result in a more agile and flexible way of designing and implementing complex machine learning workflows.

Pipelines are essentially containerized building blocks that people in the machine learning ecosystem can string together to build and manage machine learning workflows.

The promise of these Google-designed chips is that they can run specific machine learning workflows significantly faster than the standard GPUs that most developers use today.

Compared with KNIME, the SciLuigi solution presented here provides three additions of vital importance for machine learning workflows in drug discovery: HPC support, ability to create a library of custom, re-usable components and detailed audit trails.

IBM's Watson Studio is the company's service for building machine learning workflows and training models, is getting a new addition today with the launch of Deep Learning as a Service (DLaaS).

So with OpenStack now being the de facto standard for running private clouds and most of the core projects being stable, the community has recently tackled new use cases that range from container support to edge computing and running machine learning workflows on OpenStack Clouds.

Fig. 1 Supervised machine learning workflow.

He says as his team dug into the machine learning workflow, they found a gap.

These projects have been designed to aid researchers and practitioners in all aspects of a typical data analysis or machine learning workflow.

The new one can also be used for training machine learning models, a significant part of the machine learning workflow all within this single, powerful chip.

We provide our machine learning workflow as a supplementary KNIME archive file.