This paper introduces Machine Learning 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


19A (HAM) Paper outline	A Trimester : 25 Feb 2019 - 23 Jun 2019	Hamilton	On-campus	50% internal assessment, 50% examinations
19A (TGA) Paper outline	A Trimester : 25 Feb 2019 - 23 Jun 2019	Tauranga	On-campus	50% internal assessment, 50% examinations

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

Timetabled lectures and tutorials

19A (HAM) 19A (TGA)

Name	Day	Time	Room	Dates
Lecture 1	Mon	2:00 PM - 3:00 PM	S.G.03, Hamilton	Feb 25 - Jun 2
Lecture 2	Thur	3:00 PM - 4:00 PM	S.G.01, Hamilton	Feb 28 - Jun 2

Visit the online timetable for this paper for more details

Name	Day	Time	Room	Dates
Lecture 1	Mon	2:00 PM - 3:00 PM	TCBD.2.13, Tauranga	Feb 25 - Jun 2
Lecture 2	Thur	3:00 PM - 4:00 PM	TCBD.3.03, Tauranga	Feb 28 - Jun 2

Visit the online timetable for this paper for more details

Indicative Fees

Domestic

International


19A (HAM)	$883
19A (TGA)	$883

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.


19A (HAM)	$3,713
19A (TGA)	$3,713

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.

Available subjects

Computer Science

Additional information

Subject regulations

COMPX310