FOUNDATIONS OF DATA SCIENCE II
- Module code: HM821DS
- Credits: 5
- Semester: Year-Long
- Department: HAMILTON INSTITUTE
- International:
- Coordinator: Prof. Ken Duffy (HAMILTON INSTITUTE)
Overview | |
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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. |
Learning Outcomes | |
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Teaching & Learning methods | |
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Assessment | |
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Autumn Supplementals/Resits | |
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Pre-Requisites | |
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Additional Reading | |
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Timetable | |
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