CS5959
End-to-End Machine Learning
2024-2025
15
7
SCQF level 11
Full Year
Academic year(s): 2024-2025
SCOTCAT credits : 15
ECTS credits : 7
Level : SCQF level 11
Semester: Full Year
Availability restrictions: Available only to students studying the PG Cert/PG Dip/MSc in Data Science (Digital), PG Cert/PG Dip/MLitt Digital Humanities, or PG Cert/PG Dip/MSc Digital Art History
Machine learning workflows are key to effective Data Science. This module is focussed on using python packages to perform end-to-end data-driven analyses.
Weekly contact: Students should expect to engage in approximately six tutorials over the course of the module, which will be scheduled with an awareness of the pace at which they are progressing, rather than at a fixed time each week. Students should consider the amount of independent study time this module involves when planning their learning.
Scheduled learning hours: 6
Guided independent study hours: 148
As used by St Andrews: Coursework = 100%
Re-assessment: Coursework = 100%
Module coordinator: Professor T W Kelsey
Module teaching staff: Professor Tom Kelsey