Syllabus Map

• Study map: Syllabus Study Map

Core Idea

• Conditional probability updates beliefs given evidence.

Key Formula

Practical Notes

Priors matter when data is limited.

• Posterior estimates can be prior-dominated in low-data settings.

Why This Matters for ML

• Classification and inference often require conditioning on observed evidence.
• Bayes reasoning appears in posterior prediction and probabilistic model updates.
• It clarifies prior-vs-data influence, especially in small-data settings.
• Many decision rules can be interpreted as choosing outcomes with highest posterior probability.