Unit

School Of Computer, Data And Mathematical Sciences

Applied Machine LearningWestern Sydney University Unit Code: 301312.1

Discipline: ARTIFICIAL INTELLIGENCE

Student Contribution Band: 2

Level: 7

Credit Points: 10

Co ordinator
Vernon Asuncion


Assumed Knowledge
Some probability and statistics knowledge would be advantageous.


Teaching Periods
Nothing on offer.

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About this Unit
This unit introduces the foundation and concepts underpinning Machine Learning (ML) at a more abstract level, and provides more focus on its practical applications in areas such as: the classification and extraction of text data from various documents and web pages, image processing, Google’s PageRank algorithm and relational data mining (RDM). These learning objectives are achieved through various ML software and a series of practicals and projects. The unit covers the concepts and notions of supervised, unsupervised and reinforcement learning, perceptron, neural networks, support vector machines (SVM), knowledge representation (KR) based RDM, and a comprehensive introduction to the Scikit-learn ML Python libraries.


Courses
3698.4Master of Information and Communications Technology (Advanced)CURRENT
3699.4Master of Information and Communications TechnologyCURRENT
3700.2Graduate Diploma in Information and Communications TechnologyCURRENT
3765.1Master of Artificial IntelligenceCURRENT
3766.1Graduate Diploma in Artificial Intelligence (Exit only)CURRENT
3767.1Graduate Certificate in Artificial Intelligence (Exit only)CURRENT
3775.1Graduate Diploma in Information GovernanceCURRENT
3779.1Master of Information GovernanceCURRENT
3780.1Master of Information and Communications Technology/Master of Data ScienceCURRENT
8083.2Bachelor of Research StudiesCURRENT
MICTRES.1Master of Information and Communications Technology (Research)CURRENT


Specialisations

A3025.1Graduate Diploma in Information and Communications Technology Pathway A - 1.5 yearsCURRENT
A3026.1Graduate Diploma in Information and Communications Technology Pathway B - 1 yearCURRENT
A3027.1Graduate Diploma in Information and Communications Technology Pathway C - 1 yearCURRENT
A3037.1Master of Information and Communications Technology (Advanced) Pathway A - 2.5 yearsCURRENT
A3038.1Master of Information and Communications Technology (Advanced) Pathway B - 2 year programCURRENT
A3039.1Master of Information and Communications Technology (Advanced) Pathway C - 2 yearsCURRENT
A3040.1Master of Information and Communications Technology Pathway A - 2 yearsCURRENT
A3041.1Master of Information and Communications Technology Pathway B - 1.5 yearsCURRENT
A3042.1Master of Information and Communications Technology Pathway C - 1.5 yearsCURRENT
A3046.1Master of Communications Technology/Master of Data Science - Pathway A - 3 year programCURRENT
A3047.1Master of Info and Com Technology/Master of Data Sci - Pathway B - 2.5 Year programCURRENT
A3048.1Master of Communications Technology/Master of Data Science - Pathway C -2.5 yr programCURRENT
ST3081.1Artificial IntelligenceCURRENT




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