How it works...
In steps 1 and 2, we logged in to the Google Cloud portal and navigated to the APIs and services page. These APIs provide user-friendly interfaces for accessing any service from storage to computation and the deployment of applications. Using these APIs, you can automate workflows using a wide variety of programming languages and tools without worrying about hardware and software provisioning. In steps 3 and 4, we enabled the AI Platform Training and Prediction API, which is used for creating machine learning models.
This API enables data enthusiasts to build, deploy, and monitor their machine learning applications seamlessly in a portable and cost-effective manner. In step 5, we installed the cloudML package in R using RStudio ...
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