School Of Computer, Data And Mathematical SciencesAdvanced Machine LearningWestern Sydney University Unit Code: 301119.2
Discipline: STATISTICS
Student Contribution Band: 1
Level: 7
Credit Points: 10
Co ordinator
Oliver Obst
Assumed Knowledge
Fundamentals of computer programming and basic linear algebra.
Prerequisite
301113 Programming for Data Science
Unit Enrolment Restrictions
Students must be enrolled in a postgraduate course.
Teaching Periods
*If using Safari, Firefox or Chrome to print the Unit Outline, right-click on the Print Unit Outline link and select 'Save link as...' or in Safari 'Download Linked File'
About this UnitAdvanced Machine Learning explores modern methods of classification, clustering and regression to make predictions and analyse different forms of data. Issues that face all machine learning methods, such as model evaluation, assessment and generalisation will also be analysed.
Special Requirements - Essential Equipment
Access to a computer is required.
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 |
| 3735.1 | Master of Data Science | CONTINUING |
| 3735.2 | Master of Data Science | 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 |
| 8123.1 | Master of Neuromorphic Engineering | CURRENT |
| 8124.1 | Master of Applied Neuromorphic Engineering | CURRENT |
| 8125.1 | Graduate Diploma in Neuromorphic Engineering (exit only) | 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 |
| ST3064.1 | Artificial Intelligence | CONTINUING |
| ST3081.1 | Artificial Intelligence | CURRENT |