ICT515 Assignment 1 PDF

Preview

Summary

ICT515 Individual Assignment 1...

Description

MURDOCH UNIVERSITY ICT515 Foundations of Data Science September Trimester 2021 ASSIGNMENT 1

Assignment Information This is an individual assignment for each student. You should submit your assignment from the ICT515 LMS site using the Assignment unit tool. Late submissions will be penalised at the rate of 10 marks per day late or part thereof. You must keep a copy of the final version of your assignment as submitted and be prepared to provide it on request. The University treats plagiarism, collusion, theft of other students’ work and other forms of dishonesty in assessment seriously. Any instances of dishonesty in this assessment will be forwarded immediately to the College Dean. For guidelines on honesty in assessment including

avoiding

plagiarism,

see:

http://our.murdoch.edu.au/Educational-

technologies/Academic-integrity/

Overview Students will submit a research paper which will provide a survey of machine learning algorithms and their application to different research areas. The paper must include a critical review of current literature and reach conclusions on which machine learning approaches fit best to various types of problem solving and why. I strongly recommend that for your paper you search the relevant literature in IEEE Xplore: ieeexplore.ieee.org and in the ACM Digital Library: dl.acm.org. Journals from other publishers (e.g., Elsevier, Springer, Wiley) can also be used. Both of the above-mentioned databases contain thousands of papers in which machine learning algorithms are used, and compared against each other, for a very wide variety of applications, including (indicatively) the classification of human sleep stages, the prediction of regional wheat yield, the automatic classification of sonar targets, the detection of web intrusion, the practical classification of IP traffic flows, the analysis of plant disease, the prediction of psychological wellness indices, the modelling of human-robot interaction in the

case of autistic children, the proactive detection of hard disk drive failure, the prediction of cancer types, the recognition of hand gestures, phishing detection, network traffic anomaly detection, aerospace test environments, classification of prawn species.

Deliverables In your paper, which should not exceed 2000 words excluding the reference list, you need to discuss a minimum of 3 machine learning algorithms, their successful or unsuccessful performance in different research areas (you can pick some of the ones mentioned above or choose other ones) and the conclusions you have reached based on your reading. All sources used should be referenced appropriately using APA or IEEE referencing style (but not both!).

Notes All work must be submitted in ONE word document No Email submissions allowed unless specific permission has been granted...