Overview

Data compression
Noisy-channel coding
Chs 1-6, 8-10, 14
Inference, data modelling
clustering, pattern recognition
Chs 20, 22 
Probability toolbox
Monte Carlo methods
Ch 29, 30, 32
Variational methods
Ch 33
Neural networks
Chs 38, 39, (& perhaps 41, 44), 42
State-of-the-art error-correcting codes


      Recommended exercises

29.14, 33.5, 33.7, 27.1, 22.11, 39.4, 39.5
Handouts 2, 3 (on website)
The 5 cards magic trick (15.6)


      Additional reading

Laplace's method (Ch 27)
Ising models (Ch 31)