Webinar "Re-usable pipelines for ML projects with DVC" (RU)

Good ML pipelines ensure reproducibility of ML experiments and controllability of the development process. In practice, there are often situations when you want to reuse the code of one project into a new one. Sometimes, a new project (model) differs only in the target variable. In such cases, you can reuse up to 95% of the developments from the previous project. This talk discusses the approaches to organize and configure ML pipelines using DVC, ways to reuse ML pipelines, and typical scenarios

D

Dmytro Spodarets

Sep 17, 2021

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Xin