Machine Learning - COMPX310 (2022)

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
22B (HAM)B Trimester : 18 Jul 2022 - 13 Nov 2022 Hamilton
22B (TGA)B Trimester : 18 Jul 2022 - 13 Nov 2022 Tauranga

Timetabled Lectures

The Timetable for 2022 is not available.


Indicative Fees

Fees for 2022 are not yet available.


Paper Outlines

The following 2021 paper outlines are available for COMPX310. Please contact the Faculty or School office for details on 2022 outlines.

Additional Information

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

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

Paper details current as of : 16 September 2021 6:58pm
Indicative fees current as of : 16 September 2021 4:30am

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