Fazer a previsão de dados estruturados usando a plataforma Vertex AI avaliações

Alchemical R. · Revisado há almost 4 years

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. · Revisado há almost 4 years

Jesus M. · Revisado há almost 4 years

Pierre-Alexandre D. · Revisado há almost 4 years

P S. · Revisado há almost 4 years

Reshu R. · Revisado há almost 4 years

Karan R. · Revisado há almost 4 years

BO QUAN PATRICK L. · Revisado há almost 4 years

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. · Revisado há almost 4 years

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

Axel D. · Revisado há almost 4 years

Jeyaram G. · Revisado há almost 4 years

Andreas B. · Revisado há almost 4 years

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

Lingchuan C. · Revisado há almost 4 years

Eduardo M. · Revisado há almost 4 years

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. · Revisado há almost 4 years

Tarun B. · Revisado há almost 4 years

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

Mateusz K. · Revisado há almost 4 years

Muhannad B. · Revisado há almost 4 years

José Luis G. · Revisado há almost 4 years

5 stars = Very satisfied

Mrunal H. · Revisado há almost 4 years

Paul B. · Revisado há almost 4 years

Debdeep B. · Revisado há almost 4 years

prashant m. · Revisado há almost 4 years

Ho F. · Revisado há almost 4 years

Mahsut D. · Revisado há almost 4 years