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It's difficult to find off-the-shelf, open-source solutions for creating lean, simple, and language-agnostic data-processing pipelines for machine learning (ML). This session shows you how to use Amazon S3, Docker, Amazon EC2, Auto Scaling, and a number of open source libraries as cornerstones to build one. We also share our experience creating elastically scalable and robust ML infrastructure leveraging the Spot instance market.
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Amerika Syarikat
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Penafian: Podcast dan karya seni yang dibenamkan pada halaman ini adalah daripada Amazon Web Services, yang merupakan hak milik pemiliknya dan tidak bergabung dengan atau disokong oleh Listen Notes, Inc.
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