Microsoft Team Data Science Process (TDSP) Pattern
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A Microsoft Team Data Science Process (TDSP) Pattern is a data science process pattern produced by Microsoft Azure.
- See: CRISP-DM.
References
2017
- http://github.com/Azure/Microsoft-TDSP/blob/master/Docs/lifecycle-detail.md
- QUOTE: Team Data Science Process (TDSP) provides a recommended lifecycle that you can use to structure your data science projects. Basically, the lifecycle defines the steps that projects executing using the TDSP follow from start to finish. If you are using another lifecycle such as CRISP-DM, KDD or your own custom process that is working well in your organization, you can still use TDSP in the context of those development lifecycles. It is to be noted that this lifecycle is in the context of data science projects that lead to building data products and intelligent applications that include predictive analytics using machine learning or artificial intelligence (AI) models that are productionized. Exploratory data science projects and adhoc / on-off analytics projects can use this process but some steps of this lifecycle may not be needed.
- QUOTE: Team Data Science Process (TDSP) provides a recommended lifecycle that you can use to structure your data science projects. Basically, the lifecycle defines the steps that projects executing using the TDSP follow from start to finish. If you are using another lifecycle such as CRISP-DM, KDD or your own custom process that is working well in your organization, you can still use TDSP in the context of those development lifecycles. It is to be noted that this lifecycle is in the context of data science projects that lead to building data products and intelligent applications that include predictive analytics using machine learning or artificial intelligence (AI) models that are productionized. Exploratory data science projects and adhoc / on-off analytics projects can use this process but some steps of this lifecycle may not be needed.