FOUNDATIONS OF DATA SCIENCE II
- Module code: HM821DS
- Credits: 5
- Semester: Year-Long
- Department: HAMILTON INSTITUTE
- Coordinator: Prof. Ken Duffy (HAMILTON INSTITUTE)
The aim of this module is to introduce machine learning methods within the context of statistical modelling, forming a foundation for PhD research on the development of new methods. Syllabus: 1. Statistical modelling, 2. Data wrangling and pre-processing, 3. Estimation and decision-making algorithms, 4. Supervised and unsupervised learning, 5. Neural networks.
On successful completion of the module, students should be able to:
|Teaching & Learning methods|
This timetable is not currently available, please contact the Hamilton Institute Department.