Computer Laboratory

Course pages 2012–13

Artificial Intelligence II

Lecture notes: full size.

Lecture notes: four per page.

Additional lecture notes on applied machine learning: four per page.

Errata for the lecture notes.

Exercises 1: exercises covering the introduction, planning and uncertainty.

Exercises 2: exercises covering utility, HMMs and Bayes learning.

Past exam questions that remain relevant to this course.

Supplementary notes on probability - Probability for AI2.

How to evaluate Gaussian integrals - Gaussian Integrals.