Machine Learning - COMPX310 (2024)
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). |
| 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)
| Day | Start | End | Room | Dates |
|---|---|---|---|---|
| COMPX310-24B (HAM) | ||||
| Mon | 4:00 PM | 5:00 PM | S.1.02 | Jul 8 - Oct 13 |
| Thu | 1:00 PM | 2:00 PM | L.G.05 | Jul 8 - Oct 13 |
| COMPX310-24B (TGA) | ||||
| Mon | 4:00 PM | 5:00 PM | TCBD.2.09 | Jul 8 - Oct 13 |
| Thu | 1:00 PM | 2:00 PM | TCBD.3.06 | Jul 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
Fees for 2024 are not yet available.
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 : 22 September 2023 8:09pm
Indicative fees current as of : 23 September 2023 4:30am