Quiz, Part 9: ML for researchers
Learning objectives
- Check your recall of the Part 9 (ML mindset, regularization, trees and forests, calibration, fairness, causal ML, reporting, when not to use ML) material
- Identify weak areas to revisit before the final exam
- Practice under the quiz-runner format
Self-assessment quiz covering Part 9 (ML mindset, regularization, trees and forests, calibration, fairness, causal ML, reporting, when not to use ML). Ten questions drawn at random from a bank of 80 each session, rerun for a fresh draw. Each answer reveals the correct option plus a short rationale so you learn from the ones you miss.