Updating the interface and loading the latest catalog signals.
This course module teaches fundamental concepts and best practices for working with numerical data, from how data is ingested into a model using feature vectors to feature engineering techniques such as normalization, binning, scrubbing, and creating synthetic features with polynomial transforms.
Google ML and GenAI learning across Cloud and developer education.
Apr 8, 2026
Sign in to bookmark this course, mark it in progress, and save completion notes or evidence.
Sign in to trackFlag courses that are broken, irrelevant, duplicated, or clearly stale. Reports are intentionally short so review can happen quickly.
Google learning content for ML and generative AI.
The primary action takes you to the provider-owned destination.
Recency remains visible so users can weigh trust and timing quickly.
Signed-in users can move directly from evaluation into tracking behavior.