3 Machine learning and nonparametric methods đ§
Learning objectives
After reading this chapter, you should be able to:
- Apply fundamental supervised learning concepts to climate hazard assessment problems
- Understand nonparametric and semiparametric methods for flexible modeling
- Critically evaluate machine learning applications in climate risk literature
- Understand bias-variance tradeoffs and model validation approaches
3.1 Essential machine learning concepts
- Supervised and unsupervised learning paradigms
- Parametric vs nonparametric methods
- Bias-variance tradeoff and regularization
- Cross-validation and model selection
- Tree-based methods and ensemble learning