Lecture 2: Terminology, baselines, decision Trees
Supervised machine learning terminology, baselines, introduction to decision trees
Slides
Outline
- Features, target, examples, training
- Parameters and hyperparameters
- Decision boundary
- Classification vs. regression
- Inference vs. prediction
- Accuracy vs. error, baselines
- Intuition of decision trees