ML4EA

Part 2 · Chapter 6

Supervised Learning: Regression

Develops regression from linear models through nonlinear basis functions and regularization, with attention to diagnostics and engineering interpretation.

Chapter map

What this chapter develops

  • Linear regression
  • Parameter estimation
  • Model diagnostics
  • Polynomial and basis regression
  • Ridge and lasso
  • Engineering interpretation

Engineering practice

Application and Diamond Examples

  1. 01

    Predicting tensile strength of steel

  2. 02

    Estimating building heat-loss parameters

  3. 03

    Battery lifetime model evaluation

  4. 04

    Cantilever beam deflection

  5. 05

    Automobile MPG with regularized regression

Companion materials

Portal resources

Chapter catalogFind this chapter’s indexed examples and related topics.Application Example catalogOpen 5 validated notebooks with a verified portal account.AE datasetsReview dataset sources and generation details for this chapter's Application Examples.DiscussionAsk chapter-specific questions and compare engineering interpretations with other readers.