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.

Teaching Periods and Locations


20A (HAM) Paper outline	A Trimester : 02 Mar 2020 - 28 Jun 2020	Hamilton	On-campus	100% internal assessment
20A (TGA) Paper outline	A Trimester : 02 Mar 2020 - 28 Jun 2020	Tauranga	On-campus	100% internal assessment

If your paper outline is not linked below, try the previous year's version of this paper.

Timetabled lectures

20A (HAM) 20A (TGA)

Name	Day	Time	Room	Dates
Lecture 1	Mon	11:00 AM - 12:00 PM	-	Mar 2 - May 17
Lecture 2	Thur	3:00 PM - 4:00 PM	S.G.01, Hamilton	Mar 5 - May 17

Visit the online timetable for this paper for more details

Name	Day	Time	Room	Dates
Lecture 1	Mon	11:00 AM - 12:00 PM	-	Mar 2 - May 17
Lecture 2	Thur	3:00 PM - 4:00 PM	TCBD.3.03, Tauranga	Mar 5 - May 17

Visit the online timetable for this paper for more details

Indicative Fees

Domestic

International


20A (HAM)	$900
20A (TGA)	$900

You will be sent an enrolment agreement which will confirm your fees. Tuition fees shown are indicative only and may change. There are additional fees and charges related to enrolment - please see the Table of Fees and Charges for more information.


20A (HAM)	$3,824
20A (TGA)	$3,824

You will be sent an enrolment agreement which will confirm your fees. Tuition fees shown are indicative only and may change. There are additional fees and charges related to enrolment - please see the Table of Fees and Charges for more information.

COMPX310

Teaching Periods and Locations

Timetabled lectures

Indicative Fees

Available subjects

Mechatronics Engineering

Applied Computing

Computer Science

Electrical and Electronic Engineering

Electronic Engineering

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