├── LICENSE ├── MLOPS and R - rstudioconf - 20200130.pdf ├── MLOPS and R - rstudioconf - 20200130.pptx ├── README.md └── azuremlsdk-vignettes ├── experiments-with-R.pdf └── train-and-deploy-to-aci.pdf /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2020 David Smith 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /MLOPS and R - rstudioconf - 20200130.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/revodavid/mlops-r/2b7e566df755ea32c9ba66149dfdc14c5d0e960a/MLOPS and R - rstudioconf - 20200130.pdf -------------------------------------------------------------------------------- /MLOPS and R - rstudioconf - 20200130.pptx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/revodavid/mlops-r/2b7e566df755ea32c9ba66149dfdc14c5d0e960a/MLOPS and R - rstudioconf - 20200130.pptx -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Resources for Machine Learning Operations with R 2 | 3 | This repository contains resources for the talk "Machine Learning Operations with R". 4 | 5 | Azure Machine Learning service (Azure ML) is Microsoft’s cloud-based machine 6 | learning platform that enables data scientists and their teams to carry out 7 | end-to-end machine learning workflows at scale. With Azure ML's new open-source 8 | R SDK and R capabilities, you can take advantage of the platform’s 9 | enterprise-grade features to train, tune, manage and deploy R-based machine 10 | learning models and applications. 11 | 12 | ## Presentations 13 | 14 | Jan 2020: RStudioConf, San Francisco. 15 | MLOPS for R with Azure Machine Learning: [slides (PPTx)](MLOPS%20and%20R%20-%20rstudioconf%20-%2020200130.pptx) | [slides (PDF)](MLOPS%20and%20R%20-%20rstudioconf%20-%2020200130.pdf) | [Video Recording](https://resources.rstudio.com/rstudio-conf-2020/mlops-for-r-with-azure-machine-learning-david-smith) 16 | 17 | 18 | ## Resources 19 | 20 | Azure Machine Learning service: [Documentation](https://docs.microsoft.com/azure/machine-learning/overview-what-is-azure-ml?WT.mc_id=mlopsr-github-davidsmi) 21 | 22 | Azure DevOps: [Documentation](https://docs.microsoft.com/azure/devops/user-guide/what-is-azure-devops?view=azure-devops&WT.mc_id=mlopsr-github-davidsmi) 23 | 24 | **azuremlsdk** R package: [CRAN](https://cran.r-project.org/package=azuremlsdk), [GitHub Repository](https://github.com/azure/azureml-sdk-for-r), [Documentation](https://azure.github.io/azureml-sdk-for-r/reference/index.html). New to the package? Start with these vignettes: 25 | 26 | * [Tutorial: Create a logistic regression model in R with Azure Machine Learning](https://docs.microsoft.com/azure/machine-learning/tutorial-1st-r-experiment?WT.mc_id=mlopsr-github-davidsmi) 27 | 28 | * [A Deeper Dive into Experiments with R](azuremlsdk-vignettes/experiments-with-R.pdf) (this is also provided as a vignette in the `azuremlsdk` package) 29 | 30 | Free azure credits: [register here](http://azure.com/free?view=azure-devops&WT.mc_id=mlopsr-github-davidsmi). (Credit card required, but won't be charged until you remove limits to allow it.) 31 | 32 | ## Code from presentation 33 | 34 | Accidents model, trained and deployed with Azure ML, and shiny app: [GitHub](https://github.com/Azure/azureml-sdk-for-r/blob/master/vignettes/experiments-deep-dive.Rmd) 35 | (included in vignettes of [azuremlsdk package](https://github.com/Azure/azureml-sdk-for-r)). 36 | 37 | ## Related Presentations 38 | 39 | Machine learning operations: Applying DevOps to data science 40 | AIML50: [Slides, code and recording on GitHub](https://aka.ms/AIML50repo) 41 | 42 | # Feedback 43 | 44 | If you have comments, suggestions, or questions, feel free to leave an issue in this repository. 45 | 46 | David Smith 47 | Cloud Advocate, Microsoft 48 | Twitter: [@revodavid](http://twitter.com/revodavid) -------------------------------------------------------------------------------- /azuremlsdk-vignettes/experiments-with-R.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/revodavid/mlops-r/2b7e566df755ea32c9ba66149dfdc14c5d0e960a/azuremlsdk-vignettes/experiments-with-R.pdf -------------------------------------------------------------------------------- /azuremlsdk-vignettes/train-and-deploy-to-aci.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/revodavid/mlops-r/2b7e566df755ea32c9ba66149dfdc14c5d0e960a/azuremlsdk-vignettes/train-and-deploy-to-aci.pdf --------------------------------------------------------------------------------