unitinfo

It's UWAweek 47

unitinfo

This page provides helpful information about many coursework units offered by Computer Science and Software Engineering in 2024.

The information here is not official - for official information please see the current UWA Handbook. Instead, it will help students to prepare for their future units, before the beginning of each semester, and before they have access to UWA's Learning Management System (LMS).

About the unit CITS5508 Machine Learning (1st semester 2024)

View the UWA Handbook entry (includes unit outcomes and prerequisites)

Unit coordinator:

Dr Débora Corrêa
[email protected]

Unit homepage:

UWA's Learning Management System

Unit is offered in these majors and courses:

Indicative weekly topics:

week 1	Introduction to Machine Learning
week 2	Overview of a Machine Learning Project
week 3	Regression Models
week 4	Regularised Linear Models and K-nearest neighbors (KNN)
week 5	Topics in Machine Learning: Guest Lecturers from the Industry
week 6	Support Vector Machines
week 7	Decision Trees
week 8	Ensemble Learning and Random Forests
week 9	Dimensionality Reduction
week 10	K-means and Hierarchical Clustering
week 11	Overview of Neural Networks
week 12	Topics in Machine Learning: Guest Lecturers from the Industry

Indicative assessment:

assignments (50%) and final exam (50%)

Useful prior experience and background knowledge:

Linear algebra, multivariate calculus.

Useful prior programming and software experience:

Python and Jupyter Notebook

This information last updated 1:43pm Tue 27th Feb 2024

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