Machine Learning - COMPX310 (2023)
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.
|Prerequisite(s):||(COMPX101 or ENGEN103) and (STATS121 or STATS111 or ENGEN102).|
|Internal assessment / examination:||100:0|
Trimesters and Locations
|Occurrence Code||When taught||Where taught|
|23B (HAM)||B Trimester : 10 Jul 2023 - 5 Nov 2023||Hamilton|
|23B (TGA)||B Trimester : 10 Jul 2023 - 5 Nov 2023||Tauranga|
Timetabled Lectures for Machine Learning (COMPX310)
|Mon||4:00 PM||5:00 PM||L.G.02||Jul 10 - Oct 15|
|Thu||1:00 PM||2:00 PM||L.G.05||Jul 10 - Oct 15|
|Mon||4:00 PM||5:00 PM||TCBD.2.09||Jul 10 - Oct 15|
|Thu||1:00 PM||2:00 PM||TCBD.3.06||Jul 10 - Oct 15|
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 for Machine Learning (COMPX310)
The following 2022 paper outlines are available for COMPX310. Please contact the Faculty or School office for details on 2023 outlines.
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 (2022) , Machine Learning - COMPX310 (2021) , Machine Learning - COMPX310 (2020) , Machine Learning - COMPX310 (2019)
Paper details current as of : 31 May 2023 12:20pm
Indicative fees current as of : 2 June 2023 4:30am