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.

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

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)

COMPX310-20A (HAM)
Mon2:00 PM3:00 PMS.G.03Mar 2 - Jun 7
Thu3:00 PM4:00 PMS.G.01Mar 2 - Jun 7
COMPX310-20A (TGA)
Mon2:00 PM3:00 PMTCBD.2.13Mar 2 - Jun 7
Thu3:00 PM4:00 PMTCBD.3.03Mar 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

Fees for 2020 are not yet available.

Paper Outlines

The following 2019 paper outlines are available for COMPX310. Please contact the Faculty or School office for details on 2020 outlines.

Additional Information

Available Subjects:  Applied Computing | Computer Science | Electrical and Electronic Engineering | Mechatronics Engineering

Other available years: Machine Learning - COMPX310 (2019)

Paper details current as of : 16 October 2019 10:03am
Indicative fees current as of : 29 July 2019 3:04pm

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