Machine Learning - COMPX310 (2019)
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 |
| Internal assessment / examination: | 50:50 |
| Restriction(s): | COMP316 |
Trimesters and Locations
| Occurrence Code | When taught | Where taught |
|---|---|---|
| 19A (HAM) | A Trimester : 25 Feb 2019 - 23 Jun 2019 | Hamilton |
| 19A (TGA) | A Trimester : 25 Feb 2019 - 23 Jun 2019 | Tauranga |
Timetabled Lectures
The Timetable for 2019 is not available.
Indicative Fees for Machine Learning (COMPX310)
| Occurrence | Domestic | International | |
|---|---|---|---|
| Tuition | Resource | ||
| 19A (HAM) | $883 | $3713 | |
| 19A (TGA) | $883 | $3713 | |
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
Other available years: Machine Learning - COMPX310 (2023) , Machine Learning - COMPX310 (2022) , Machine Learning - COMPX310 (2021) , Machine Learning - COMPX310 (2020)
Paper details current as of : 31 May 2023 12:20pm
Indicative fees current as of : 2 June 2023 4:30am