ML4EA

Part 2 · Chapter 14

Specialized ML Techniques and Emergent Topics

Connects a broad set of specialized methods to engineering practice, from transfer and Bayesian learning to graphs, symbolic methods, agentic AI, and MLOps.

Chapter map

What this chapter develops

  • Transfer and Bayesian learning
  • Recommendation and association rules
  • Graph learning
  • Self-supervised learning
  • Symbolic and hybrid methods
  • Agentic AI and MLOps

Engineering practice

Application and Diamond Examples

  1. 01

    Transfer learning for manufacturing defect detection

  2. 02

    Graph convolution for mesh stress prediction

  3. 03

    Self-supervised bearing degradation representations

  4. 04

    Symbolic discovery of nonlinear mechanical equations

  5. 05

    Agentic support for early-stage engineering design

Companion materials

Portal resources

Chapter catalogFind this chapter’s indexed examples and related topics.Application Example catalogOpen 13 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.