Originally published at: https://developer.nvidia.com/blog/how-to-jumpstart-data-science-workflows/
Data science development faces many challenges in the areas of: Exploration and model developmentTraining and evaluationModel scoring and inference Some estimates point to 70%-90% of the time is spent on experimentation – much of which will run fast and efficiently on GPU-enabled mobile and desktop workstations. Running on a Linux mobile workstation, for example, presents…