Opiniones sobre Predicción de datos estructurados con Vertex AI Platform

Luke C. · Se revisó hace casi 4 años

Alchemical R. · Se revisó hace casi 4 años

When checking the directory structure both inputs produced "CommandException: One or more URLs matched no objects." And I had run into an issue with region, my notebook was in us-west1-b, when i deployed a trained model the region was not available.

Tony R. · Se revisó hace casi 4 años

Jesus M. · Se revisó hace casi 4 años

Pierre-Alexandre D. · Se revisó hace casi 4 años

P S. · Se revisó hace casi 4 años

Reshu R. · Se revisó hace casi 4 años

Karan R. · Se revisó hace casi 4 años

BO QUAN PATRICK L. · Se revisó hace casi 4 años

missing instruction, needed to tweak things to get the notebook run and train the model, the last part on deploying the model did not work so this lab needed more fixed on it.

Elis T. · Se revisó hace casi 4 años

Pretty clear, quite the same as End-to-End ML, but no real practice of Vertex

Axel D. · Se revisó hace casi 4 años

Jeyaram G. · Se revisó hace casi 4 años

Andreas B. · Se revisó hace casi 4 años

The command line are still using the old AI platform, not the Vertex AI.

Lingchuan C. · Se revisó hace casi 4 años

Eduardo M. · Se revisó hace casi 4 años

The lab was titled "Structured data prediction using Vertex AI", but the only VertexAI-oriented detail was creating a notebook in Vertex AI — which, btw, is virtually the same as in Google AI Platform. This clickbait-y nature is even reflected in the summary: "how to trained, evaluate, and deploy a machine learning model in Vertex AI Notebooks" (note how they replaced the word "Platform" with just "Notebooks"). The lab is so not-Vertex-AI-oriented, even the created jobs and models are not displayed in Vertex AI's menus, but in AI Platform's, where one is greeted with the following message: "This is AI Platform. Migrate your resources to Vertex AI to get the latest features like data labeling, AutoML-powered training, and endpoint management." How ironic ;). --- BTW, what is the sense of checking the existence of the same files in two consecutive commands? Is there a possibility that the created CSV files disappear instantaneously after a single `gsutil ls`? The commands, for reference: """ Verify CSV creation Verify that we correctly created the CSV files in our bucket. ``` %%bash gsutil ls gs://${BUCKET}/babyweight/data/*.csv ``` Check data exists Verify that you previously created CSV files we'll be using for training and evaluation. ``` %%bash gsutil ls gs://${BUCKET}/babyweight/data/*000000000000.csv ``` """

Mateusz Z. · Se revisó hace casi 4 años

Tarun B. · Se revisó hace casi 4 años

I wasn't able to complete the task since some error related to access to Google Storage Bucket showed up

Mateusz K. · Se revisó hace casi 4 años

Muhannad B. · Se revisó hace casi 4 años

José Luis G. · Se revisó hace casi 4 años

5 stars = Very satisfied

Mrunal H. · Se revisó hace casi 4 años

Paul B. · Se revisó hace casi 4 años

Debdeep B. · Se revisó hace casi 4 años

prashant m. · Se revisó hace casi 4 años

Ho F. · Se revisó hace casi 4 años