Chapter 2: Statistical Learning

This chapter dives deeper into the mathematical foundations of statistical learning.

Parametric vs Non-Parametric Methods

• Parametric methods assume a functional form for the relationship between inputs and outputs.
• Non-parametric methods make fewer assumptions about the form.

Model Accuracy

We discuss bias-variance tradeoff and how to evaluate model performance.