Ten Minute Tutorial for Research: Jupyter Notebooks on AWS (Sagemaker Studio)

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  • Опубликовано: 6 фев 2025
  • How easy is it to create your own Jupyter Notebook with full access? This intro will guide you through getting your own Juypter Notebook on Amazon Web Services (AWS) in minutes using Sagemaker Studio Notebook.
    More information:
    Get Started with Amazon SageMaker: amzn.to/3wfD9og
    Build, Train, and Deploy a Machine Learning Mode with Amazon SageMaker: amzn.to/3xfbwf3
    AWS in the Public Sector paves the way for innovation and supports world-changing projects in government, education, nonprofit, and healthcare organizations. Check out: go.aws/2XV2QeV.
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    #Research #SageMaker #JupyterNotebook

Комментарии • 7

  • @skywankeryoupi
    @skywankeryoupi 3 года назад +5

    Hello thanks for the tutorial, how do you get charged for the service compared to a classic ec2 instance? do youget charged as long as the notebook is running?

  • @vishnukowndinya
    @vishnukowndinya 4 месяца назад

    Hello, help me with create notebook job and parameterize the notebook please. I'm trying to schedule a simple notebook job which has a single print statement print hello. By using the default additional options, I tried to execute it by Run Now option. It's throwing an error filenotfounderror: object has no attribute response.

  • @nhattran536
    @nhattran536 3 года назад

    Thank you for this tutorial 🙏

  • @aiknowledge8855
    @aiknowledge8855 3 года назад

    Not able to use one of the OpenCV command cv2.imshow to view the video in was Aws juypter notebook. It shows error kernel dead please restart the kernal. Please help.

  • @veronikaberezhnaia248
    @veronikaberezhnaia248 2 года назад

    do you have videos how to install Anaconda and PySpark on AWS EC2 instance? Thank you!

  • @akzork
    @akzork 2 года назад +2

    couldn't record the screen properly in 2021?

  • @luisramos1977
    @luisramos1977 2 года назад +1

    thanks for the tutorial, but the quality of this video is poor