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Module FOUNDATIONS OF DATA SCIENCE II

Module code: HM821DS
Credits: 5
Semester: Year-Long
Department: HAMILTON INSTITUTE
International: No
Coordinator: Prof. Ken Duffy (HAMILTON INSTITUTE)
Overview Overview
 

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.

Open Learning Outcomes
 
Open Teaching & Learning methods
 
Open Assessment
 
Open Repeat options
 
Open Pre-Requisites
 
Open Timetable
 
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