Level | Credits | Term | Type |
---|---|---|---|
6 or 7 | 15 | 1 | Departmental |
Module description
This module aims to familiarise students with the foundations of machine learning, including its theoretical and algorithmic aspects. The module covers important algorithmic learning paradigms and corresponding machine learning models that are widely used in practice, whilst placing special focus on the mathematical and statistical theories that provide their underpinnings.
Further details are available in the STAT0042 UCL Module Catalogue entry.
Standard prerequisites
One of COMP0015 / COMP0043, along with one of STAT0006 / STAT0028
Registration process
Undergraduates
STAT0042 is offered as an elective. Prospective elective students who have taken the standard prerequisites should simply register for STAT0042 on Portico and await a decision. Prospective elective students who do not satisfy the standard prerequisiters must additionally consult a member of staff in the Department of Statistical Science.
Postgraduates
STAT0042 is offered as an elective. Prospective elective students who have taken the standard prerequisites should simply register for STAT0042 on Portico and await a decision. Prospective elective students who do not satisfy the standard prerequisiters must additionally consult a member of staff in the Department of Statistical Science.