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COMP47590

Academic Year 2024/2025
COMP47590 is an advanced module on Machine Learning that builds on the core concepts covered in COMP47490 or COMP47460. Either COMP47490 or COMP47460 is a prerequisite for this module. This module covers advanced, state of the art topics in machine learning in areas such as deep learning, ensemble methods, semi-supervised learning, human-in-the-loop machine learning, unsupervised machine learning, and reinforcement learning. Significant prior programming experience is essential (ideally in Python (with associated machine learning libraries), but experience in Java, C/C++, etc and a willingness to learn Python independently would suffice).

About this Module

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Student Effort Hours:
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Requirements, Exclusions and Recommendations

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Module Requisites and Incompatibles
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Assessment Strategy  
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered

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Terminal Exam

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Please see Student Jargon Buster for more information about remediation types and timing. 

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