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 ENGEN102).|
|Internal assessment / examination:||50:50|
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 for Machine Learning (COMPX310)
|Mon||4:00 PM||5:00 PM||L.G.02||Jul 18 - Oct 23|
|Thu||1:00 PM||2:00 PM||L.G.05||Jul 18 - Oct 23|
|Mon||4:00 PM||5:00 PM||TCBD.2.09||Jul 18 - Oct 23|
|Thu||1:00 PM||2:00 PM||TCBD.3.06||Jul 18 - Oct 23|
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 2021 paper outlines are available for COMPX310. Please contact the Faculty or School office for details on 2022 outlines.
Paper details current as of : 20 October 2021 9:21am
Indicative fees current as of : 21 October 2021 4:32am