blog_posts: 59327d6fed
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id | createdDate | title | link | postExcerpt | featuredImageUrl | hash | contributors | modifiedDate | displayDate |
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blog-posts#34-29491 | 2021-10-22 18:56:51 | Improve your data science workflow with a multi-branch training MLOps pipeline using AWS | https://aws.amazon.com/blogs/machine-learning/improve-your-data-science-workflow-with-a-multi-branch-training-mlops-pipeline-using-aws/ | In this post, you will learn how to create a multi-branch training MLOps continuous integration and continuous delivery (CI/CD) pipeline using AWS CodePipeline and AWS CodeCommit, in addition to Jenkins and GitHub. I discuss the concept of experiment branches, where data scientists can work in parallel and eventually merge their experiment back into the main [...] | https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2021/10/19/ML-5217-image003-300x98.png | 59327d6fed | Bruno Klein | 2021-11-05 16:31:05 | 22 Oct 2021 |
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