Overview

Machine learning (ML) is the algorithmic approach to learning from data.  This course provides an introduction to core ideas and techniques in ML, covering theoretical foundations, algorithms, and practical methodology.  Algorithms for supervised and unsupervised learning are covered, including regression, classification, neural networks, tree learning, kernel methods, clustering, dimensionality reduction, … For more content click the Read More button below.

Conditions for Enrolment

Prerequisite: (MATH1081 and (COMP1531 or COMP2041)) or (COMP1927 or COMP2521)

Course Outline

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COMP9417 Course Outline

Fees

TypeAmount
Commonwealth Supported Students (if applicable)$1170
Domestic Students$5790
International Students$5790

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Commonwealth Supported Students:

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Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)
Pre-2019 Handbook Editions