# Unit 1 · Uncertainty, joint distributions and Bayes rule

Subject: Intelligent Systems II

Exam: TEE

Reader: https://deep-learning-study-room.vercel.app/is2/#tee/read/u1-prob

Canonical: https://deep-learning-study-room.vercel.app/read/is2/tee/read-chapter/u1-prob/

Unit 1 · Quantifying uncertainty, inference using the full joint distribution, Bayes rule

1. [Why agents need probability (and the basic rules)](https://deep-learning-study-room.vercel.app/read/is2/tee/read/u1-prob--uncertainty/)
2. [Inference using the full joint distribution (5-mark PYQs)](https://deep-learning-study-room.vercel.app/read/is2/tee/read/u1-prob--full-joint/)
3. [Bayes’ rule: meaning, derivation and three complete examples](https://deep-learning-study-room.vercel.app/read/is2/tee/read/u1-prob--bayes-rule/)