Machine Learning - COMPX310 (2020)
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|
|Internal assessment / examination:||50:50|
Semesters and Locations
|Occurrence Code||When taught||Where taught|
|20A (HAM)||A Semester : 2 Mar 2020 - 28 Jun 2020||Hamilton|
|20A (TGA)||A Semester : 2 Mar 2020 - 28 Jun 2020||Tauranga|
Timetabled Lectures for Machine Learning (COMPX310)
|Mon||11:00 AM||12:00 PM||L.G.03||Mar 2 - May 31|
|Thu||3:00 PM||4:00 PM||S.G.01||Mar 2 - Jun 7|
|Mon||11:00 AM||12:00 PM||TCBD.3.03||Mar 2 - May 31|
|Thu||3:00 PM||4:00 PM||TCBD.3.03||Mar 2 - Jun 7|
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 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.
Other available years: Machine Learning - COMPX310 (2019)
Paper details current as of : 26 February 2020 3:05pm
Indicative fees current as of : 31 January 2020 4:26pm