Course overview
This course provides a foundational understanding of machine learning, covering its core concepts, mathematical foundations, and diverse applications. By the end of the course, learners will be able to understand and implement basic machine learning algorithms and evaluate the algorithms on a variety of datasets using suitable evaluation metrics. This course prepares students to effectively apply machine learning techniques to real-world problems and sets the foundation for more advanced studies in machine learning and artificial intelligence.
- Supervised Learning
- Unsupervised Learning
- Neural Network
Course learning outcomes
- Describe key concepts in machine learning and their advantages and disadvantages in various applications
- Demonstrate the principles of simple machine learning algorithms and models including Linear Regression, Naive Bayes, SVM, K-Nearest Neighbour and Decision Trees
- Evaluate simple machine learning algorithms on both synthetic and real-world datasets using appropriate evaluation metrics
- Apply data preparation techniques to clean, preprocess, and transform data for machine learning tasks
Availability
Class details
Adelaide City Campus East
Class number 54549
Section PR01
Size 40
Available 40
Class number 54548
Section PR02
Size 40
Available 40
Class number 54547
Section PR03
Size 40
Available 40
Class number 53188
Section TU01
Size 40
Available 40
Class number 53809
Section TU02
Size 40
Available 40
Class number 54546
Section TU03
Size 40
Available 40
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The Student Contribution amount displayed below is for students commencing a new program from 2021 onwards. If you are continuing in a program you commenced prior to 1 January 2021, or are commencing an Honours degree relating to an undergraduate degree you commenced prior to 1 January 2021, you may be charged a different Student Contribution amount from the amount displayed below. Please check the Student Contribution bands for continuing students here. If you are an international student, or a domestic student studying in a full fee paying place, and are continuing study that you commenced in 2025 or earlier, your fees will be available here before enrolments open for 2026.