blog_posts: 08484cae05
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id | createdDate | title | link | postExcerpt | featuredImageUrl | hash | contributors | modifiedDate | displayDate |
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blog-posts#18-11345 | 2021-05-18 19:33:06 | Paris-Saclay University uses AWS to advance data science through collaborative challenges | https://aws.amazon.com/blogs/publicsector/paris-saclay-university-uses-aws-advance-data-science-collaborative-challenges/ | This is a guest post by Maria Teleńczuk, research engineer at the Paris-Saclay Center for Data Science (CDS), and Alexandre Gramfort, senior research scientist at INRIA, the French National Institute for Research in Digital Science and Technology. Maria and Alexandre explain how they adapted their open source data challenge platform RAMP to train the models submitted by student challenge participants using Amazon Elastic Compute Cloud (Amazon EC2) Spot instances, and how they leveraged AWS to support three student challenges. | https://d2908q01vomqb2.cloudfront.net/9e6a55b6b4563e652a23be9d623ca5055c356940/2021/05/18/RAMP-challenges.jpg | 08484cae05 | Maria Teleńczuk, Alexandre Gramfort | 2021-05-19 12:55:23 | 18 May 2021 |
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