Note: Tutorials start in Week 2 of Semester 2.
Tutorial groups are here (allocations will be completed by the end of Week 1). Contact the ITO with any queries.
Note: Sample solutions are placed here for you to consult but do this only after the relevant tutorial and you have tried doing each exercise for yourself (otherwise you will lose most of the benefit).
Algorithms. Asymptotic Notation.
Algorithms. Lists and Hashing.
Learning. Simple recommender system and clustering.
Learning. Introduction to statistical pattern recognition.
16-20 Feb, Innovative Learning Week, no lectures or tutorials
Algorithms. AVL-trees, Heaps and the Master Theorem
Learning. Naive Bayes and Gaussians.
Algorithms. Sorting and Graphs
Learning. Classification with Gaussians and Discriminant Functions.
Algorithms and Learning (joint tutorial). Graphs and the Web; Single- and multi-layer networks. Tutorial 9
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