Deliver high-performance ML models faster with MLOps tools

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  • čas přidán 30. 07. 2023
  • Machine learning operations (MLOps) tools help you automate and standardize the ML lifecycle to productionize ML models faster without compromising model performance. Amazon SageMaker provides a breadth of mission-ready MLOps tools to experiment, train, test, deploy, and govern ML models at scale. In this session, learn how to use SageMaker to implement an end-to-end MLOps solution for your organization.
    To learn more about the services featured in this talk, please visit: aws.amazon.com/sagemaker/mlops
    ⏭️ To download a copy of the slide deck from this webinar visit: pages.awscloud.com/Deliver-hi...
    ▶️ To access the workshop please visit: catalog.workshops.aws/mlops-f...
    👨🏻‍💻 Code: github.com/aws-samples/amazon...
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Komentáře • 12

  • @svitlanatuchyna7154

    This tutorial is a good general overview of SageMaker for those who already have quite a lot of experience in ML. But it is definitely not suitable for beginners. The first part was easy to follow but the second part was more confusing.

  • @mmacasual-

    Great Tutorial

  • @be_present_now

    @awssupport Could you please record the tutorials in higher resolutions preferebly 1080p so that code is crisply visible for a better learning experience. Thanks!

  • @GenAIML_senseNsimplicity

    The github code repository does not have 00_EDA_Local.ipynb, 01_DataPrep.ipynb etc files. Where to find these files?

  • @chsaloua

    Thank you guys for the tutorial.

  • @MrKB_SSJ2

    17:39

  • @sndrstpnv8419

    hi where is link for code pls

  • @user-wt8tz3qx5p

    Can we get the code link