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AWS re:Invent 2020: How to create fully automated ML workflows with Amazon SageMaker Pipelines

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  • Опубліковано 4 лют 2021
  • Machine learning (ML) workflows are hard to build because you need to create hundreds of code packages for data preparation, model training, and model deployment and stitch them together so they run as a sequence of steps. In this session, learn about Amazon SageMaker Pipelines, the world’s first ML CI/CD service designed to be accessible for every developer and data scientist. SageMaker Pipelines brings CI/CD pipelines to ML, reducing the months of coding previously required to just a few hours. See a demonstration of how you can create an automated ML workflow with just a few clicks and learn how SageMaker Pipelines manages dependencies and orchestrates the workflow.
    Learn more about re:Invent 2020 at bit.ly/3c4NSdY
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КОМЕНТАРІ • 18

  • @srs.shashanks
    @srs.shashanks 3 роки тому +25

    Good slides, but demo was difficult to follow because of poor resolution.

  • @fierval
    @fierval 3 роки тому +18

    So, it was impossible to record a quality demo... Come on AWS!

  • @mohammedtaher3717
    @mohammedtaher3717 2 роки тому +3

    It was a good session, It'd more be helpful if the demo code repo is also shared, it could help us to experiment from our side.

  • @sgaseretto
    @sgaseretto 3 роки тому +4

    In case you are building hundreds or thousands of models weekly, is it possible to setup SageMaker to automatically approve and deploy the model into production if it meets the necessary criteria?

    • @timcheung8139
      @timcheung8139 3 роки тому

      Yes in a custom pipeline, you could remove the manual approval step.

  • @rgarthwood3881
    @rgarthwood3881 2 роки тому +1

    Seems like a good product but the demo is barely legible at 1080p (no 4k recording for some reason). This video needs to be re-cut.

  • @denzilstudios7072
    @denzilstudios7072 2 роки тому

    For our startup we want to set this sagemaker pipeline setup for dev acc & prod in separate accounts. Where can i find guidelines on how to set this up?

  • @denisbolshakov9574
    @denisbolshakov9574 3 роки тому +3

    The quality of video for the demo is very poor.

  • @ownage300
    @ownage300 2 роки тому +1

    Is the code for the demo available somewhere?

  • @deepaksaini4158
    @deepaksaini4158 3 роки тому +1

    the talk is good. however, the demo video quality is so bad. Not able to see/read anything. kind of defeats the purpose.

  • @OrHiltch
    @OrHiltch 3 роки тому

    Awesome talk

  • @love_joy_minimalist
    @love_joy_minimalist 3 роки тому +1

    The quality of video for the demo is very poor +1

  • @RezHoss-rd8iq
    @RezHoss-rd8iq 11 місяців тому

    Cant see the demo at all

    • @awssupport
      @awssupport 11 місяців тому

      I'm sorry to hear that, Rez. Please elaborate on what you mean, when you say that you're unable to see the demo at all? This way we'd be able to better identify a possible solution. ^AR

    • @vee-kay-vee
      @vee-kay-vee 10 місяців тому

      @@awssupport The quality of video & audio (only demo part) is poor. For audio we could still adjust and manage, even if it wasn't clear. However, the video recording was too poor, it was difficult to follow everything as texts etc were not clear even in 1080p

    • @awssupport
      @awssupport 10 місяців тому

      Sorry for the concern, VeeKay. Thank you for sharing this feedback. I found this resource that may help: go.aws/3rJPmEw. If you'd like, you can also reach out to our community of experts over on re:Post with any questions: go.aws/aws-repost. ^SA

  • @rameshreddy908
    @rameshreddy908 2 роки тому

    The quality of demo is poor

  • @mohammadbilal514
    @mohammadbilal514 25 днів тому

    bad video, it wasted my 30 minutes, no new project and pipeline i could see after watching this demo. All demos were already created before.