Machine Learning - COMPX310 (2021)

This paper introduces Machine Learning (ML) which is the science of making predictions. ML algorithms strive to be fast and highly accurate, while processing large datasets. This paper will use standard Python-based ML toolkits to teach the fundamentals of ML.

Paper Information

Points: 15.0
Prerequisite(s): (COMPX101 or ENGEN103) and (STATS121 or ENGEN102).
Internal assessment / examination: 50:50
Restriction(s): COMP316

Trimesters and Locations

Occurrence Code When taught Where taught
21B (HAM)B Trimester : 12 Jul 2021 - 7 Nov 2021 Hamilton

Timetabled Lectures

The Timetable for 2021 is not available.


Indicative Fees for Machine Learning (COMPX310)

Occurrence Domestic International
 Tuition Resource 
21B (HAM) $910 $3939
You will be sent an enrolment agreement which will confirm your fees.
Tuition fees shown below are indicative only and may change. There are additional fees and charges related to enrolment - please see the Table of Fees and Charges for more information.

Paper Outlines for Machine Learning (COMPX310)

The following paper outlines are available for Machine Learning (COMPX310).
If your paper occurrence is not listed contact the Faculty or School office.

Additional Information

Available Subjects:  Applied Computing | Computer Science | Data Analytics | Electrical and Electronic Engineering | Electronic Engineering | Mechatronics Engineering

Other available years: Machine Learning - COMPX310 (2023) , Machine Learning - COMPX310 (2022) , Machine Learning - COMPX310 (2020) , Machine Learning - COMPX310 (2019)

Paper details current as of : 30 September 2022 10:04am
Indicative fees current as of : 6 October 2022 4:30am

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