关于“Self Service ML Pipelines Using Dataprep and AutoML Tables”的评价

关于“Self Service ML Pipelines Using Dataprep and AutoML Tables”的评价

评论

Juan Antonio H. · 评论about 2 months之前

Feng X. · 评论2 months之前

Aspram G. · 评论2 months之前

Kevan W. · 评论3 months之前

Kevan W. · 评论3 months之前

Kevan W. · 评论3 months之前

horrible lab, its a race against time

Swattik C. · 评论3 months之前

Mahima A. · 评论3 months之前

Mahima A. · 评论3 months之前

Marianna K. · 评论3 months之前

Khooshi D. · 评论3 months之前

Khooshi D. · 评论3 months之前

HONG VUONG N. · 评论3 months之前

Ebenezer A. · 评论3 months之前

This lab is beyond insane, and thats why, Dataprep tasks pipeline aside (that are super OK part) the lab task NEED you to complete the 2 last steps on a few seconds and without thinking or revision, you should prepare the plan body and auth bearer token before saving and running the jobs, but firstly to get the token you need to open a non-anonimous windows (not explained anywhere) and log in with students credential (id as email), then copy and paste the token (in a few seconds, just erase anything on the form before pasting it) to run the job, if anything is missing (like the "Bearer " that is a "Bearer" with a SPACE before the token) you will get the second job fail without body on log and no other debug log unless you dig it into other GCP resources, thing that you should not be expected to do in a few seconds unless you are a ninja at GCP monitoring, this check should never be done as obrigatory but optional, I did manage to nail it at first try, but it is not fair game for learners, even if it was a chalenge lab :-)

Andre C. · 评论3 months之前

Sudip B. · 评论3 months之前

Herve Arsene B. · 评论3 months之前

Vikram S. · 评论3 months之前

Parthiban S. · 评论3 months之前

really nice lab, but insufficient time - just rushed through it, without reflecting what I do, because I rasn out of time in my first attempt (would be five stars with at least 1/2 hr more timeI

Roman M. · 评论3 months之前

running out of time

Roman M. · 评论3 months之前

I asked support why the last step wasn't working and they said that there was a technical issue which impacted the lab on the platform. They resolved the issue and I was able to complete the lab.

Jacob J. · 评论4 months之前

Haripriya S. · 评论4 months之前

Stéphane V. · 评论4 months之前

Prasanth kumar M. · 评论4 months之前

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