Machine Learning - COMPX310 (2020)

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): COMP103 or COMPX101 or ENGG182 or ENGEN103 and STAT121 or STATS121 or STATS111 or ENGEN102.
Internal assessment / examination: 100:0
Restriction(s): COMP316

Trimesters and Locations

Occurrence Code When taught Where taught
20A (HAM)A Trimester : 2 Mar 2020 - 28 Jun 2020 Hamilton
20A (TGA)A Trimester : 2 Mar 2020 - 28 Jun 2020 Tauranga

Timetabled Lectures

The Timetable for 2020 is not available.


Indicative Fees for Machine Learning (COMPX310)

Occurrence Domestic International
 Tuition Resource 
20A (HAM) $900 $3824
20A (TGA) $900 $3824
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 | Electrical and Electronic Engineering | Electronic Engineering | Mechatronics Engineering

Other available years: Machine Learning - COMPX310 (2024) , Machine Learning - COMPX310 (2023) , Machine Learning - COMPX310 (2022) , Machine Learning - COMPX310 (2021) , Machine Learning - COMPX310 (2019)

Paper details current as of : 3 October 2023 8:50am
Indicative fees current as of : 5 October 2023 4:30am

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