Handbook

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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.

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, ensemble methods, and large-scale ML. Students will be given hands-on experience on applying ML algorithms to real problems and datasets.

Conditions for Enrolment

Prerequisite: COMP9020 and COMP9024

Exclusion Courses

Delivery

In-person - Standard (usually weekly or fortnightly)

Please note that the above delivery information is an indication on how this course may be delivered within the year. Delivery mode(s) for each term can be viewed on other sources such as myUNSW and class timetable site.

This Handbook is a comprehensive catalogue of our offerings and includes courses that can be taken to satisfy program requirements irrespective as to their availability for a particular year. Availability of courses is best checked using filters on this site or on the class timetable site.

Course Outline

To access course outline please visit below link (Please note that access to UNSW Canberra course outlines requires VPN):

Fees

Type	Amount
Commonwealth Supported Students (if applicable)	$1003
Domestic Students	$4560
International Students	$6030

Disclaimer

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Commonwealth Supported Students:

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Where a Commonwealth Supported fee is displayed it does not guarantee that such places are available.

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)

Faculty
Faculty: The primary academic unit in which related disciplines of teaching and research are conducted.

School
School: The academic unit responsible for teaching in disciplines or subject areas (school is part of a faculty).

Study Level
Study Level refers to the academic level of a program, specialisation or course.

Postgraduate

Offering Terms
Depending on the Academic Calendar type, an offering term generally refers to an academic teaching period of between 8-13 weeks in duration.

Term 1, Term 2

Campus

Sydney

Academic Calendar

Field of Education

020109 Algorithms

Machine Learning and Data Mining

COMP9417

6 Units of Credit