- Tutorial session: 5/12

Examples: Time Series, State-Space Models.

- Tutorial session: 28/11

Examples: Bayesian inference, Gibbs Sampling.

- Tutorial session: 21/11

Discussion of Solutions to Assignment 3

- Tutorial session: 14/11

Recommended readings:
Carl Rasmussen's tutorial slides on Gaussian Processes

- Tutorial session: 7/11

Review: week of 29/10-

Recommended readings:
Ch. 16, 26 of David MacKay's book.
David Heckermann's Tutorial on Graphical Models

Discussion of Solutions to Assignment 2


- Tutorial session: 31/10

Review: week of 22/10-

Recommended readings:
Max Welling's notes on HMMs (here) which gives a few good examples and derivations.
Ch. 34 of David Mackay's (book). 
Rabiner's comprehensive tutorial.


- Tutorial session: 24/10

Discussion of Assignment 1solutions


- Tutorial session: 10/10

Discussion of problems relevant to Assignment 1


- Tutorial session: 3/10

Review of Basic probability/math.



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