School Of Computer, Data And Mathematical SciencesApplied Machine LearningWestern Sydney University Unit Code: 301312.1
Discipline: ARTIFICIAL INTELLIGENCE
Student Contribution Band: 2
Level: 7
Credit Points: 10
Assumed Knowledge
Some probability and statistics knowledge would be advantageous.
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| 3698.4 | Master of Information and Communications Technology (Advanced) | CURRENT |
| 3699.4 | Master of Information and Communications Technology | CURRENT |
| 3700.2 | Graduate Diploma in Information and Communications Technology | CURRENT |
| 3765.1 | Master of Artificial Intelligence | CURRENT |
| 3766.1 | Graduate Diploma in Artificial Intelligence (Exit only) | CURRENT |
| 3767.1 | Graduate Certificate in Artificial Intelligence (Exit only) | CURRENT |
| 3775.1 | Graduate Diploma in Information Governance | CURRENT |
| 3779.1 | Master of Information Governance | CURRENT |
| 3780.1 | Master of Information and Communications Technology/Master of Data Science | CURRENT |
| 8083.2 | Bachelor of Research Studies | CURRENT |
| MICTRES.1 | Master of Information and Communications Technology (Research) | CURRENT |
Specialisations
| A3025.1 | Graduate Diploma in Information and Communications Technology Pathway A - 1.5 years | CURRENT |
| A3026.1 | Graduate Diploma in Information and Communications Technology Pathway B - 1 year | CURRENT |
| A3027.1 | Graduate Diploma in Information and Communications Technology Pathway C - 1 year | CURRENT |
| A3037.1 | Master of Information and Communications Technology (Advanced) Pathway A - 2.5 years | CURRENT |
| A3038.1 | Master of Information and Communications Technology (Advanced) Pathway B - 2 year program | CURRENT |
| A3039.1 | Master of Information and Communications Technology (Advanced) Pathway C - 2 years | CURRENT |
| A3040.1 | Master of Information and Communications Technology Pathway A - 2 years | CURRENT |
| A3041.1 | Master of Information and Communications Technology Pathway B - 1.5 years | CURRENT |
| A3042.1 | Master of Information and Communications Technology Pathway C - 1.5 years | CURRENT |
| A3046.1 | Master of Communications Technology/Master of Data Science - Pathway A - 3 year program | CURRENT |
| A3047.1 | Master of Info and Com Technology/Master of Data Sci - Pathway B - 2.5 Year program | CURRENT |
| A3048.1 | Master of Communications Technology/Master of Data Science - Pathway C -2.5 yr program | CURRENT |
| ST3081.1 | Artificial Intelligence | CURRENT |