A Microsoft initiative to support Azure Machine Learning customer adoption through migration from Machine Learning Studio(classic).
Azure Machine Learning Adoption Framework provides a holistic plan and action guidance to adopt Azure Machine Learning. The content is orginzed in following files:
- aml-adoption-framework.docx: word document of the end to end adoption framework. Can be used as planning and action template.
- aml-adoption-framework.pptx PowerPoint deck that highlighs the key stages of the adoption.
- One-pager info graphix in
The Self-Assessment Survey template is available here. It lists the questions to consider before start adopt Azure Machine Learning.
The automate_assessment folder contains Azure CLI extention to assess the Machine Learning Studio(classic) assets (worksapces, experiemnts, web service, dataset etc). It can generate a ML Studio(classic) inventory list of a given subscription. Start to use the CLI here.
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This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.