BIOSTATS 6017EX - Machine Learning
Career: | Postgraduate Coursework |
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Units: | 3 |
Term: | Semester 2 |
Campus: | External |
Contact: | Up to 12 hours per week |
Restriction: | Available to Grad Cert, Grad Dip, M Biostatistics students only |
Available for Study Abroad and Exchange: | No |
Available for Non-Award Study: | Check with School |
Quota: | A quota of 15 applies |
Pre-Requisite: | BIOSTATS 6001EX and BIOSTATS 6003EX or BIOSTATS 6019EX and BIOSTATS 6000 or 6000EX and BIOSTATS 6006EX or BIOSTATS 6020EX and BIOSTATS 6005EX |
Assessment: | Two major assignments and two shorter assignments |
Syllabus: |
This course covers modern machine learning methods particularly useful for large and complex health data Content includes: Linear Regression and K -Nearest Neighbours; Classification (logistic regression, linear discriminant analysis); Resampling Methods (Cross-Validation, Bootstrap); Model Selection and Regularization (subset selection, shrinkage methods, dimension reduction methods); Beyond Linearity (fractional polynomials, basis functions, splines, generalized additive models); Tree-Based Methods (decision trees, bagging, random forests, boosting). |
Course Fees
Study Abroad student tuition fees are available here
Only some Postgraduate Coursework programs are available as Commonwealth Supported. Please check your program for specific fee information.
The fees displayed below for international students are for students commencing a program in 2024 only. International students who commenced a program in 2023 or prior can find their fee here.
EFTSL | |||
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0.125 |
* This course is not normally offered to international students studying within Australia.
Course Outline
A Course Outline which includes Learning Outcomes, Learning Resources, Learning & Teaching for this course may be accessed here
Critical Dates
Term | Last Day to Add Online | Census Date | Last Day to WNF | Last Day to WF |
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Semester 2 | Mon 05/08/2024 | Wed 14/08/2024 | Fri 13/09/2024 | Fri 25/10/2024 |
Class Details
Enrolment Class: Unspecified | |||||||
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Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
26225 | 01EX | 20 | 19 | This class does not have any timetabled face-to-face sessions. Please check MyUni or contact your Course Coordinator for details. |