Storing data for machine learning

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Published on 11 Aug 2022, 16:00
Install Cloud SDK → goo.gle/3JAojjt
Colab notebook → goo.gle/3zIhZTS
Install Google Cloud CLI → goo.gle/3bsfCv3

Vertex AI Workbench and Cloud Storage are building blocks for your machine learning journey on Google Cloud. In this episode of Prototype to Production, Developer Advocate Nikita Namjoshi shares how you can store data for machine learning. Watch this episode to learn how to download data directly to Vertex AI Workbench instances, and how to create and upload data to Cloud Storage buckets via the UI and the gsutil tool!

Chapters:
0:00 - Intro
0:35 - Image classification example
1:30 - Upload code artifacts to Vertex AI Workbench
2:34 - Storing data in a centralized location with Cloud Storage
3:49 - Upload files programmatically with the gsutil tool
4:55 - Wrap up

Vertex AI → goo.gle/3BD97QE

Prototype To Production playlist → goo.gle/PrototypeToProduction
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech
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