blog_posts: b532fe2a03
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id | createdDate | title | link | postExcerpt | featuredImageUrl | hash | contributors | modifiedDate | displayDate |
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blog-posts#36-6251 | 2021-06-17 14:13:26 | Field Notes: Develop Data Pre-processing Scripts Using Amazon SageMaker Studio and an AWS Glue Development Endpoint | https://aws.amazon.com/blogs/architecture/field-notes-develop-data-pre-processing-scripts-using-amazon-sagemaker-studio-and-an-aws-glue-development-endpoint/ | This post was co-written with Marcus Rosen, a Principal – Machine Learning Operations with Rio Tinto, a global mining company. Data pre-processing is an important step in setting up Machine Learning (ML) projects for success. Many AWS customers use Apache Spark on AWS Glue or Amazon EMR to run data pre-processing scripts while using Amazon SageMaker [...] | https://d2908q01vomqb2.cloudfront.net/fc074d501302eb2b93e2554793fcaf50b3bf7291/2021/06/15/Sagemaker-Architecture.jpg | b532fe2a03 | Sam Mokhtari, Julie Tran | 2021-06-22 22:24:01 | 17 Jun 2021 |
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