Google · Course
Decision Forests
Decision Forests is an advanced Google for Developers course on decision trees and forests: interpretable algorithms that work well on tabular data for classification, regression and ranking, taught with examples in the YDF library.
Who it suits
- Practitioners who work with tabular data and want an alternative to neural networks.
- Engineers who need models that are easy to configure and interpret.
What it covers
- How decision trees and forests make predictions, and the different types.
- Performance considerations and effective usage strategies.
- Why forests are easier to configure than neural networks: fewer hyperparameters with good defaults.
- Concepts that transfer to other decision forest libraries, shown with YDF code.
Before you start
- Basic machine learning knowledge.
- Familiarity with data preprocessing.
Common questions about Decision Forests
- How long does it take?
- Google estimates 2.5 hours.
- Which library does it use?
- YDF for the examples, though Google says the knowledge transfers to other decision forest libraries.
- Is it free to reuse?
- Google says the content is licensed under Creative Commons Attribution 4.0, and code samples under Apache 2.0.
More like this
Keep learning on Infrato
- Path: AI for data analysts
- Path: AI for software developers
- More from Google: all Google listings in the directory
- Explore all AI courses
Where this comes from
Written from Google’s own pages, read on 2026-10-14. Content, prices and availability change, so the provider’s page is the source. We are not affiliated with Google and this is not an endorsement.