AWS re:Invent 2018: CI/CD for Your Machine Learning Pipeline with Amazon SageMaker (DVC303)
      Published on Nov 27, 2018
    
  Amazon SageMaker is a powerful tool that enables us to build, train, and deploy at scale our machine learning-based workloads. With help from AWS CI/CD tools, we can speed up this pipeline process. In this talk, we discuss how to integrate Amazon SageMaker into a CI/CD pipeline as well as how to orchestrate with other serverless components. This session is part of re:Invent Developer Community Day, a series led by AWS enthusiasts who share first-hand, technical insights on trending topics.
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      AWS re:Invent 2018: Build & Deploy ML Models Quickly & Easily with Amazon SageMaker (AIM404-R)
    
 
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      57:13
    
 
      AWS re:Invent 2018: CI/CD for Your Machine Learning Pipeline with Amazon SageMaker (DVC303)
    
 
      57:13
    
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      AWS re:Invent 2018: Smarter Event-Driven Edge with Amazon SageMaker & Project Flogo (AIM204-S)
    
 
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