Quick start guide to R for Azure Machine Learning by Larry Franks.
From the post:
Microsoft Azure Machine Learning contains many powerful machine learning and data manipulation modules. The powerful R language has been described as the lingua franca of analytics. Happily, analytics and data manipulation in Azure Machine Learning can be extended by using R. This combination provides the scalability and ease of deployment of Azure Machine Learning with the flexibility and deep analytics of R.
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This document will help you quickly start extending Azure Machine Learning by using the R language. This guide contains the information you will need to create, test and execute R code within Azure Machine Learning. As you work though this quick start guide, you will create a complete forecasting solution by using the R language in Azure Machine Learning.
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BTW, I deleted an ad in the middle of the pasted text that said you can try Azure learning free. No credit card required. Check the site for details because terms can and do change.
I don’t know who suggested “quick” be in the title but it wasn’t anyone who read the post. 😉
Seriously, despite being long it is a great onboarding to using RStudio with Azure Machine Learning that ends with lots of good R resources.
Combining the strength of cloud based machine learning with a language that is standard in data science is a winning combination.
People will differ in their preferences for cloud based machine learning environments but this guide sets a high mark for guides concerning the same.
Enjoy!
I first saw this in a tweet by Ashish Bhatia.