32513 Advanced Machine Learning

6cp; availability: Honours and postgraduate degree students
Requisite(s): 32130 Principles and Practice of Data Mining

This subject is concerned primarily with machine learning: automatic construction of computable models from data. Symbolic and non-symbolic methods are studied. Topics include: statistical learning, clustering and correlations; neural networks methods; genetic algorithms; genetic programming; Shannon information; rule induction and first-order learning.

Typical availability

Autumn semester, City campus

Fee information

2006 contribution for 2005/06 commencing Commonwealth-supported undergraduate students: $872.38
2006 amount for undergraduate domestic fee-paying students: $2,310.00
Subject EFTSL: 0.125
Note: The above fees are applicable in 2006 for 2005/06 commencing Commonwealth-supported and domestic fee-paying undergraduate students only. Pre-2005 Commonwealth-supported undergraduate students should consult the Student contribution charges for Commonwealth supported students webpage.
Not all students are eligible for Commonwealth supported places, and not all subjects are available to Commonwealth supported students. Other students (such as postgraduate students and international students) should refer to the Fees webpage.

Access conditions

Note: The requisite information presented in this subject description covers only academic requisites. Full details of all enforced rules, covering both academic and admission requisites, are available at Access conditions and My Student Admin.