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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:
Step 1. Configure a virtual machine instance (Ubuntu OS) on Google Cloud:
Step 1.1. Create a Google Cloud Project: Sign in to Google Cloud Console and create a project.
Step 1.2. Create a firewall rule: Create a firewall rule in the Google Cloud Compute Engine…
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Full-Stack Data Scientist | Strategic Marketing | srees.org
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