End-To-End: Pipeline Orchestration (KFP) - AutoML in Vertex AI for ML Operations [notebook 02c]

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  • เผยแพร่เมื่อ 22 ธ.ค. 2024

ความคิดเห็น • 28

  • @neupix3549
    @neupix3549 2 ปีที่แล้ว +9

    It is these kind of videos we all need when we begin working on anything new! I've come across many videos describing how to work with Vertex AI on GCP but your series simply nails it! Great job, please continue the good work.

  • @miguelalba2106
    @miguelalba2106 ปีที่แล้ว +1

    I'm statistician too, I love your videos, very helpful, intuitive and clear, btw your posterior neon sign is amazing 🔥

  • @varshasahasrabuddhe1652
    @varshasahasrabuddhe1652 ปีที่แล้ว +1

    i am glad that i found these videos

  • @harpreetpaul4794
    @harpreetpaul4794 2 ปีที่แล้ว

    Amazing video series explaining each section so succinctly. Awesome!! work look. I forward to more such videos.

    • @statmike-channel
      @statmike-channel  2 ปีที่แล้ว

      More to come! A full series on BQML and TensorFlow workflows coming this Fall!

    • @MrRajatksingh
      @MrRajatksingh 2 หลายเดือนก่อน

      @@statmike-channel which never came out :(

  • @DavideConsonni1
    @DavideConsonni1 2 ปีที่แล้ว +2

    Great work!

  • @algorithmo134
    @algorithmo134 3 หลายเดือนก่อน

    Hi Mike do you know why I keep getting quota limit exceeded errors?

  • @hom01
    @hom01 2 ปีที่แล้ว +1

    Awesome video thanks

  • @jobiquirobi123
    @jobiquirobi123 2 ปีที่แล้ว

    Just found your channel, this is great

  • @prakashbaskar5548
    @prakashbaskar5548 11 หลายเดือนก่อน

    Hi Mike, this is excellent video. Is it possible to let the pipeline trigger automatically in case of data refresh either in google big query or in the source csv file?

  • @algorithmo134
    @algorithmo134 4 หลายเดือนก่อน

    Hi Mike, nice video! instead of storing the data in sql, is it possible to store in csv?

    • @statmike-channel
      @statmike-channel  4 หลายเดือนก่อน

      Definitely! While the video shows BQ, it is also possible to use CSV in cloud storage. Here is a link that will help: cloud.google.com/vertex-ai/docs/tabular-data/classification-regression/prepare-data#import-source

    • @algorithmo134
      @algorithmo134 4 หลายเดือนก่อน

      @@statmike-channel I would like to see a video on building a complete pipeline of fetching data from an api and storing it in big query and using that data to train the model and deploying it to an endpoint. Hopefully you will make one.

  • @khadijakhaldi6468
    @khadijakhaldi6468 ปีที่แล้ว

    Hi Mike! thanks for the videos. I failed to import aiplatform from google_cloud_pipeline_components. Please any idea how to solve this ?

  • @saraking7133
    @saraking7133 2 ปีที่แล้ว +1

    what does the neon sign mean?

    • @statmike-channel
      @statmike-channel  2 ปีที่แล้ว +2

      It's my favorite theorem - the probability of event based on prior knowledge of conditions for the event. More to come on this in future videos (eventually!). Thank you for asking. en.wikipedia.org/wiki/Bayes%27_theorem

  • @mohamedcamara6606
    @mohamedcamara6606 2 ปีที่แล้ว +1

    GREAT WORK ! Thanks for this amazing video. Can we have a video with (MLOps level 2: CI/CD pipeline automation included "Vertex AI Feature Store") please ?

    • @statmike-channel
      @statmike-channel  2 ปีที่แล้ว

      Great suggestion! I am really working hard on the 05 series with TensorFlow workflows that will get into these details. The content is evolving on the GitHub repo now and will turn into videos this Fall!

  • @UnkownDofus
    @UnkownDofus ปีที่แล้ว

    Hello, Im liking the serie coming from mlops engineer fammiliar w/ kubeflow it's a bit easy to catch up.
    But I'm not sure if it's an error from me, but the Q&A part look redundant we had the same questions and answers in the last videos ^^' (what's the secret about that?).

  • @jeffz7310
    @jeffz7310 2 ปีที่แล้ว

    I have an error when running the cell with response = ...., it says permission not granted, is there anything else I should try?

    • @statmike-channel
      @statmike-channel  2 ปีที่แล้ว +1

      I am sorry this is giving you trouble. In this step the service account is being provided that will run the pipeline job. Depending on how you authenticated to the notebook it may think it is a different account than the service account, such as your account. In that case you might need act-as permission for the service account. This may be easier to help troubleshoot using the Issues tab on the GitHub repository.
      Here is a link that mentions it: cloud.google.com/python/docs/reference/aiplatform/latest/google.cloud.aiplatform.PipelineJob#google_cloud_aiplatform_PipelineJob_run

    • @statmike-channel
      @statmike-channel  2 ปีที่แล้ว

      Were you able to get past this? Let me know if you are still experiencing issues. Thank you

  • @AIdevel
    @AIdevel ปีที่แล้ว

    Mike excellent video series however I would suggest that you write the code live rather than ready and prepared code particularly for the pipelines

  • @99labrat
    @99labrat 2 ปีที่แล้ว

    Thanks the best. More Please :-)