R For Machine Learning

R For Machine Learning Average ratng: 9,7/10 5606 votes

There is a very good course called Machine Learning using R and Python provided by Udemy. I say this as a good course because beacuse it has been structured in such a way that anyone can learn it irrespective of their level of expertise.

This repository contains resources for the talk 'Machine Learning Operations with R'.

Azure Machine Learning service (Azure ML) is Microsoft’s cloud-based machinelearning platform that enables data scientists and their teams to carry outend-to-end machine learning workflows at scale. With Azure ML's new open-sourceR SDK and R capabilities, you can take advantage of the platform’senterprise-grade features to train, tune, manage and deploy R-based machinelearning models and applications.

Presentations

Jan 2020: RStudioConf, San Francisco.
MLOPS for R with Azure Machine Learning: slides (PPTx) slides (PDF) Video Recording

Resources

Azure Machine Learning service: Documentation

Azure DevOps: Documentation

azuremlsdk R package: CRAN, GitHub Repository, Documentation. New to the package? Start with these vignettes:

A Deeper Dive into Experiments with R (this is also provided as a vignette in the azuremlsdk package)
ANTLR tool and Java Target. Complete ANTLR 4.8 Java binaries jar. Complete ANTLR 4.8 tool, Java runtime and ST 4.0.8, which lets you run the tool and the generated code. ANTLR 4.8 distribution (zip). Everything you need to build the tool and Java runtime from source. ANTLR 4.8 Java runtime binaries jar. Only what's needed for building and executing parsers/lexers generated in Java. Antlr 4 install for mac pro.

Free azure credits: register here. (Credit card required, but won't be charged until you remove limits to allow it.)

Code from presentation

Accidents model, trained and deployed with Azure ML, and shiny app: GitHub
(will soon be included in vignettes of azuremlsdk package).

Presentations

Resources

Code from presentation

Related Presentations