Theory Practice
Reason about bias, variance, overfitting, generalization, and evaluation splits.
Recommended resources
- Machine Learning Crash Course — Google for Developers
Instructions
- Use observed train-validation patterns rather than vague model-size rules.
Ordered items
- Diagnose train and validation error
- L1 versus L2 regularization
- Read a finite-class generalization bound
- Generalization and overfitting knowledge check
Completion
Recommend a defensible response to one bias and one variance failure mode.