Getting started with Notebooks for machine learning


Vertex AI docs → https://goo.gle/3RV7iV7
Vertex AI Workbench codelab → https://goo.gle/3NtnRou
5 steps to go from a notebook to a deployed model blog → https://goo.gle/3cCD0pC

Welcome to Prototype to Production where we go from notebook code to a deployed model in the cloud. In this series, Developer Advocate Nikita Namjoshi shares the foundational concepts you’ll need to build, train, scale, and deploy machine learning models on Google Cloud. Check out this episode to learn the benefits of running machine learning in a cloud environment, as well as how to use Notebooks on Google Cloud!

Chapters:
0:00 – Intro
0:52 – How does machine learning work in the cloud?
1:38 – Set up our environment with Vertex AI
2:00 – Create new managed Notebook
2:36 – DIfferent Notebook options
3:44 – Summary and wrap up

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


Duration: 00:04:27
Publisher: Google Cloud
You can watch this video also at the source.