Chapter map
What this chapter develops
- Types of machine learning
- Features, labels, and models
- Empirical risk and generalization
- Overfitting and regularization
- Model selection and evaluation
- Python environment and data handling
Engineering practice
Application and Diamond Examples
- 01
Engineering examples illustrate learning types, evaluation choices, and generalization throughout the chapter
Companion materials
Portal resources
Chapter catalogFind this chapter’s indexed examples and related topics.
Python notebooksNo companion AE notebooks are currently assigned to this chapter.None
AE datasetsNo companion AE datasets are currently assigned to this chapter.None
DiscussionAsk chapter-specific questions and compare engineering interpretations with other readers.