Data scientists and data leaders need to be thoughtful when trying to balance working on many projects at once.
How to think through the difficult challenge of a data science project that isn't producing results.
Data can often make decisions worse, not better. This blog post gives an example of one such situation as a metaphor.
This step-by-step walkthough covers how to install JupyterHub for your organization on your internal systems.
Saturn Cloud Data Science Team
Saturn Cloud now supports Julia, the scientific programming language, including GPU support and deployments.
The basics of what GPU processors are and when you should consider using one.
There are some core problems with many data science platforms that make them hard for data scientists to use and admins to maintain.
How to use Saturn Cloud to run a model by Microsoft Research for restoring old photos.
Saturn Cloud now has an image for using R and torch for neural network model training.
Saturn Cloud data science team
Saturn Cloud now supports R with the RStudio IDE, GPU and parallel processing images, and the ability to deploy Shiny apps and Plumber APIs
Prefect is a great tool for managing data science pipelines. And it works with Saturn Cloud too!
Saturn Cloud now provides 30 hours a model of compute time, including GPUs and Dask distributed clusters.