Resource Library

You’re invited to check out out all the different learning resources in the guide: problems and projects, former Google interview questions, online courses, education sites, videos, and more.

Learn to ingest, analyze, transform and train machine models on scientific data in this series of labs. You'll solve real-world problems using a variety of public datasets and GCP products. (paywall)

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