SageMaker Friday episode 1 - How to build, train and deploy and a machine learning model easily

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  • เผยแพร่เมื่อ 27 พ.ย. 2024

ความคิดเห็น • 7

  • @mrsulupati
    @mrsulupati 2 ปีที่แล้ว +2

    Thanks for this overview of SageMaker. Really looking forward to learn best practices around implementing end-to-end ML project in SageMaker and other AWS services, in any future sessions. We are trying to use Vertex AI for model hosting, drift detection and re-training etc. As AWS services are more mature (generally) it would be great to learn best practices around it.

  • @erniea5843
    @erniea5843 2 ปีที่แล้ว +5

    For future episodes, please zoom into the text when sharing your screen. It was hard to read and follow along.

  • @MrWolfgangWeiss
    @MrWolfgangWeiss 2 ปีที่แล้ว +4

    Could you do a video where you would want to perform continuous training and deployment on a set schedule say once a month? I cannot seem to find great tutorials on this. Would be really helpful.

  • @janeejanee8774
    @janeejanee8774 2 ปีที่แล้ว

    Great video, Where can I get the notebook? Thanks

  • @herashak
    @herashak 2 ปีที่แล้ว

    Wat kinda dataset was that

  • @meiluhe374
    @meiluhe374 2 ปีที่แล้ว +8

    It is better just one person to present. If you keep interrupting, the audience will lose the focus.

  • @anas.2k866
    @anas.2k866 23 วันที่ผ่านมา

    Some non smooth interruptions from the lady in the bottom of the screen