- Published on February 3, 2022
- In AI Features
How to use cloud platforms for your data science projects
Some of the most common cloud-based platforms for data science projects include Amazon Web Services, Google Cloud Platform, IBM Watson and Microsoft Azure.
- By Sreejani Bhattacharyya
As data scientists deal with solving complex business problems through building models and deploying algorithms, the right kind of tools become essential to effectively manage different aspects of a project pipeline. Taking your data science project to the cloud comes with advantages like the ability to scale, access to all the latest tools, and less maintenance from the user side. Some of the most common cloud-based platforms for data science projects include Amazon Web Services, Google Cloud Platform, IBM Watson and Microsoft Azure.
IBM
IBM provides the tools for machine learning and automation to support the entire data science lifecycle, right from preparing and exploring the data to deploying and monitoring the models.
IBM Watson Studio
It allows data scientists to build,
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Sreejani Bhattacharyya
I am a technology journalist at AIM. What gets me excited is deep-diving into new-age technologies and analysing how they impact us for the greater good.
Reach me at sreejani.bhattacharyya@analyticsindiamag.com
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