Not offered until Semester 1 2022 This course is a practical introduction to machine learning and deep learning. It introduces a variety of learning algorithms and how to use them. It covers key stages of the machine learning process such as algorithm selection, feature selection, model building, diagnostics, cross validation, and testing.
- Semester of offer: *
- Petrie: Semester 1
- Student contribution band:
- Band 2
- Census date:
- Academic Calendar
- Class Timetable:
- View class timetables for this course
* Semester of offer is subject to change.
The outline for this course is currently unavailable.