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):||COMP103 or COMPX101 or ENGG182 or ENGEN103 and STAT121 or STATS121 or STATS111 or ENGEN102.|
|Internal assessment / examination:||50:50|
Trimesters and Locations
|Occurrence Code||When taught||Where taught|
|21B (HAM)||B Trimester : 12 Jul 2021 - 7 Nov 2021||Hamilton|
Timetabled Lectures for Machine Learning (COMPX310)
|Mon||4:00 PM||5:00 PM||L.G.02||Jul 12 - Oct 17|
|Thu||1:00 PM||2:00 PM||L.G.05||Jul 12 - Oct 17|
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)
Paper details current as of : 18 May 2021 9:05am
Indicative fees current as of : 18 May 2021 4:30am