Prepare Data for ML APIs on Google Cloud: Challenge Lab Reviews
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    Prepare Data for ML APIs on Google Cloud: Challenge Lab Reviews

    180237 reviews

    A lot!

    Rose C. · Reviewed 17 days ago

    Couldn't be less satisfied, I completed the two ending tasks, but the platform didn't recognize the completion and made a total wast of my time and credits, what makes me more angry is the fact that this challenge requires 5 credits, what is going to demand of me a substantial drain of credits that I would otherwise use in other labs, to to try this !@#$% lab again and try to guess what this !@#$% requires me to do. I followed all the instructions to the letter and yet...

    Adriano C. · Reviewed 17 days ago

    Saving the initial result from the Google Cloud Speech-to-Text API and Cloud Natural Language API directly into the Cloud Shell file system saves it as type 'application/octet', I recall. For some reason, if you then directly upload this to the Cloud Storage bucket using `gcloud storage cp XXXX.result gs://BUCKET_NAME/XXXX.result`, the lab cannot seem to read the file and acknowledge the step completion. It might be good to have a warning that the output must first be output into a JSON file in the Cloud Shell filesystem, or that the desired result should be in the bucket as `application/json`.

    Tuany V. · Reviewed 17 days ago

    Nestor Stiven P. · Reviewed 17 days ago

    Ashley L. · Reviewed 17 days ago

    Rodrigo A. · Reviewed 17 days ago

    For the STT and NLP API, if I upload file to GS as a different type it cannot get point. It should specify file type becomes application/json

    Seongeun S. · Reviewed 17 days ago

    NAYA M. · Reviewed 17 days ago

    BIEN

    Ligia J. · Reviewed 17 days ago

    Joachim W. · Reviewed 17 days ago

    Ivan C. · Reviewed 17 days ago

    Heberth H. · Reviewed 17 days ago

    ok

    EDWIN FIDENCIO O. · Reviewed 17 days ago

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    andre silva p. · Reviewed 18 days ago

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    Manuela C. · Reviewed 18 days ago

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