Machine Learning

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 (DATAX111 or DATAX121 or STATS111 or STATS121 or ENGEN102)) or COMPX216.
Internal assessment / examination: 100:0

Trimesters and Locations

Occurrence Code When taught Where taught
24B (HAM)B Trimester : 8 Jul 2024 - 3 Nov 2024 Hamilton
24B (TGA)B Trimester : 8 Jul 2024 - 3 Nov 2024 Tauranga

Timetabled Lectures for Machine Learning (COMPX310)

COMPX310-24B (HAM)
Mon4:00 PM5:00 PMS.1.02Jul 8 - Oct 13
Thu1:00 PM2:00 PML.G.05Jul 8 - Oct 13
COMPX310-24B (TGA)
Mon4:00 PM5:00 PMTCBD.2.08Jul 8 - Oct 13
Thu1:00 PM2:00 PMTCBD.3.06Jul 8 - Oct 13

NB:There may be other timetabled events for this paper such as tutorials or workshops.
Visit the online timetable for COMPX310 for more details

Indicative Fees for Machine Learning (COMPX310)

Occurrence Domestic International
 Tuition Resource 
24B (HAM) $978 $4604
24B (TGA) $978 $4604
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

The following 2023 paper outlines are available for (COMPX310). Please contact the Faculty or School office for details on 2024 outlines.

Additional Information

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

Other available years: Machine Learning - COMPX310 (2023) , Machine Learning - COMPX310 (2022) , Machine Learning - COMPX310 (2021) , Machine Learning - COMPX310 (2020) , Machine Learning - COMPX310 (2019)

Paper details current as of : 19 February 2024 7:45pm
Indicative fees current as of : 21 February 2024 4:32am

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