- Code COMP4670
- Unit Value 6 units
- Offered by Research School of Computer Science
- ANU College ANU College of Engineering and Computer Science
- Course subject Computer Science
- Areas of interest Computer Science
- Academic career UGRD
- Dr Ulrich Webers
- Mode of delivery In Person
First Semester 2014
See Future Offerings
This course provides a broad but thorough introduction to the methods and practice of statistical machine learning. Topics covered will include Bayesian inference and maximum likelihood modeling; regression, classification, density estimation, clustering, principal and independent component analysis; parametric, semi-parametric, and non-parametric models; basis functions, neural networks, kernel methods, and graphical models; deterministic and stochastic optimisation; overfitting, regularisation, and validation.
Upon successful completion, students will have the knowledge and skills to:
On satisfying the requirements of this course, students will have the knowledge and skills to:
- Understand a number of models for supervised, unsupervised, and reinforcement machine learning
- Describe the strength and weakness of each of these models
- Understand the mathematical background from Linear Algebra, Statistics, and Probability Theory used in these machine learning models
- Implement efficient machine learning algorithms on a computer
- Design test procedures in order to evaluate a model
- Combine several models in order to gain better results
- Make choices for a model for new machine learning tasks based on reasoned argument
Assignment 1 (20%); Assignment 2 (20%); Final Oral Exam (60%)
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Thirty one-hour lectures
Requisite and Incompatibility
You will need to contact the Research School of Computer Science to request a permission code to enrol in this course.
Bishop, Christopher M. Pattern Recognition and Machine Learning , Springer
Tuition fees are for the academic year indicated at the top of the page.
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- Student Contribution Band:
- Unit value:
- 6 units
If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.
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Offerings, Dates and Class Summary Links
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Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|3144||17 Feb 2014||07 Mar 2014||31 Mar 2014||30 May 2014||In Person||N/A|