Syllabus Map

• Study map: Syllabus Study Map

Core Idea

• Hypothesis tests assess whether observed effects are likely under a null hypothesis.
• Confidence intervals quantify uncertainty in estimated quantities.

Practical Notes

Report uncertainty, not only point estimates.

• Include intervals or repeated-run variability in comparisons.

Why This Matters for ML

• Confidence intervals and significance testing contextualize model comparison results.
• They help separate real performance gains from random variation.
• Ablation and benchmark claims are stronger when paired with uncertainty estimates.
• Inference basics improve rigor in experimental ML reporting.