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 | |
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 : 31 May 2023 12:20pm
Indicative fees current as of : 3 June 2023 4:30am