Course overview
This course focuses on the theoretical foundations of machine learning. It aims to equip students with the knowledge and skills of the mathematical underpinnings of machine learning algorithms, including linear algebra, calculus, probability, information theory and optimisation, and to develop students understanding and ability on how to apply the mathematical concepts and theories to the design of machine learning algorithms for solving fundamental machine learning problems such as regression, classification, dimensionality reduction and density estimation.
- Mathematical foundations for machine learning
- Basics of machine learning algorithms
- Applications: example algorithms for solving the central machine learning problems
Course learning outcomes
- Describe the mathematical concepts that form the foundations of different machine learning algorithms.
- Explain the key components of a machine learning algorithm and the major principles of model learning and model selection
- Analyse and critique machine learning algorithms and their applications with the learned mathematics language
- Apply the learned mathematical foundations and principles for model learning and selection to solve machine learning problems.
Availability
Class details
Mawson Lakes
Class number 27886
Section PR01
Size 120
Available 108
Class number 27887
Section WS01
Size 70
Available 58
Class number 27888
Section WS02
Size 70
Available 70
Adelaide City Campus East
Class number 27889
Section PR01
Size 120
Available 18
Class number 27890
Section WS02
Size 60
Available 18
Class number 27891
Section WS03
Size 60
Available 0
Class details
Mawson Lakes
Class number 57726
Section PR01
Size 100
Available 99
Class number 57727
Section WS01
Size 50
Available 49
Class number 57728
Section WS02
Size 50
Available 50
Adelaide City Campus East
Class number 57729
Section PR01
Size 150
Available 138
Class number 57730
Section WS01
Size 70
Available 69
Class number 57731
Section WS02
Size 70
Available 61
Class number 57732
Section WS03
Size 70
Available 68
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