blog_posts: 0c6ceb2cfe
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id | createdDate | title | link | postExcerpt | featuredImageUrl | hash | contributors | modifiedDate | displayDate |
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blog-posts#34-28231 | 2021-09-24 17:28:54 | Customize Amazon SageMaker Studio using Lifecycle Configurations | https://aws.amazon.com/blogs/machine-learning/customize-amazon-sagemaker-studio-using-lifecycle-configurations/ | July 2023: This post was reviewed for accuracy. Amazon SageMaker Studio is a web-based, integrated development environment (IDE) for machine learning (ML) that lets you build, train, debug, deploy, and monitor your ML models. It provides all the tools you need to take your models from experimentation to production while boosting your productivity. You can [...] | 0c6ceb2cfe | Andrew Ang, Raghu Ramesha, Rama Thamman, Ram Vegiraju, Sumit Thakur, Durga Sury | 2023-07-10 20:28:38 | 24 Sep 2021 |
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