mlops-r:使用R进行机器学习操作的资源

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  • 2022-06-14 20:39
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使用R进行机器学习的资源 该存储库包含用于演讲“使用R进行机器学习的操作”的资源。 Azure机器学习服务(Azure ML)是Microsoft的基于云的机器学习平台,使数据科学家及其团队可以大规模执行端到端机器学习工作流。 借助Azure ML的新开源R SDK和R功能,您可以利用平台的企业级功能来训练,调优,管理和部署基于R的机器学习模型和应用程序。 简报 2020年1月:RStudioConf,旧金山。 带有Azure机器学习的R的MLOPS: | | 资源 Azure机器学习服务: Azure DevOps: azuremlsdk R软件包: , , 。 包的新手? 从这些小插图开始: (在azuremlsdk软件包中也以插图形式提供) 免费的Azure积分: 。 (需要信用卡,但在取消限制之前不会收费。) 演示文稿中的代码 事故模型,训练和与Azure的ML,
mlops-r-master.zip
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  • MLOPS and R - rstudioconf - 20200130.pdf
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  • MLOPS and R - rstudioconf - 20200130.pptx
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  • LICENSE
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  • README.md
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  • azuremlsdk-vignettes
  • train-and-deploy-to-aci.pdf
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  • experiments-with-R.pdf
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内容介绍
# Resources for Machine Learning Operations with R This repository contains resources for the talk "Machine Learning Operations with R". Azure Machine Learning service (Azure ML) is Microsoft’s cloud-based machine learning platform that enables data scientists and their teams to carry out end-to-end machine learning workflows at scale. With Azure ML's new open-source R SDK and R capabilities, you can take advantage of the platform’s enterprise-grade features to train, tune, manage and deploy R-based machine learning models and applications. ## Presentations Jan 2020: RStudioConf, San Francisco. 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) ## Resources Azure Machine Learning service: [Documentation](https://docs.microsoft.com/azure/machine-learning/overview-what-is-azure-ml?WT.mc_id=mlopsr-github-davidsmi) Azure DevOps: [Documentation](https://docs.microsoft.com/azure/devops/user-guide/what-is-azure-devops?view=azure-devops&WT.mc_id=mlopsr-github-davidsmi) **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: * [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) * [A Deeper Dive into Experiments with R](azuremlsdk-vignettes/experiments-with-R.pdf) (this is also provided as a vignette in the `azuremlsdk` package) 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.) ## Code from presentation 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) (included in vignettes of [azuremlsdk package](https://github.com/Azure/azureml-sdk-for-r)). ## Related Presentations Machine learning operations: Applying DevOps to data science AIML50: [Slides, code and recording on GitHub](https://aka.ms/AIML50repo) # Feedback If you have comments, suggestions, or questions, feel free to leave an issue in this repository. David Smith Cloud Advocate, Microsoft Twitter: [@revodavid](http://twitter.com/revodavid)
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