Objective: To set up a fully operational machine learning Server on Google Cloud Compute Engine’s virtual machine instance.

In a real-world scenario, cloud computing and machine learning go hand-in-hand to build, transform and scale predictive modelling projects. Being a Linux server application, R Studio server is one of the best solutions that could be hosted on Google Cloud (or Amazon Web Service or Azure) to automatically process large volumes of data in SQL/ R/ Python in a centralized manner. Here’s a step-by-step approach on how to configure a fully functional R Studio Server on Google Cloud:

1. Configure a virtual machine instance (Ubuntu OS) on Google Cloud.
2. Install R and R Studio Server on the Virtual Machine.
3. Create users and groups.
4. Schedule and run R scripts using cronR package.

#r #data-science #data-analytics #google-cloud-platform #data-visualization